• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:

    公开号:NL2012436A
    申请号:NL2012436
    申请日:2014-03-14
    公开日:2014-09-16
    发明作者:Michael Harris；John Carrino；Eric Wong
    申请人:Palantir Technologies；
    IPC主号:
    专利说明:

    FAIR SCHEDULING FOR MIXED-QUERY LOADS
    TECHNICAL FIELD
    [0001] The present disclosure relates generally to scheduling computer-executable tasks for execution by computing devices and, more specifically, to techniques for scheduling queries for execution by database management systems.
    BACKGROUND
    [0002] Many database management systems are available to help users manage data. One way such systems help users is to answer questions the users have about the data. In the context of database management systems, questions are typically referred to as “queries” and answers typically referred to as “results”. Users submit queries to database management systems and receive answers to the queries in the form of results.
    [0003] To answer queries, database management systems use computing resources such as memory and processor resources. Different queries require different amounts of computing resources to answer. For example, a query that returns 50,000 results may consume more computing resources than one that returns 10 results.
    [0004] Many database management systems have the ability to execute multiple queries at the same time (i.e., concurrently). The process performed by a database management system of determining the results of a query is often referred to as “executing” the query. Multiple queries executed concurrently by a database management system can contend with each other for use of the same computing resources. Many database management systems perform synchronization and scheduling functions for the purpose of sharing computing resources amongst multiple concurrent query executions.
    [0005] Unfortunately, despite these synchronization and scheduling efforts, problems can arise when database management systems execute multiple queries concurrently where some of the queries are “high cost” queries and others are “low cost” queries. With this type of mixed query-load, execution of the high cost queries can require use of so many computing resources that they “starve” low cost queries of computing resources. The result may be that the database management systems take a long amount of time to return answers to the low cost queries. Overall, some database management systems handle mixed query loads in such a way that latency of the low cost queries and the throughput of the query load are longer than users expect them to be.
    [0006] The approaches described in this section are approaches that could be pursued, but not necessarily approaches that have been previously conceived or pursued. Therefore, unless otherwise indicated, it should not be assumed that any of the approaches described in this section qualify as prior art merely by virtue of their inclusion in this section.
    SUMMARY OF SOME EMBODIMENTS
    [0007] A fair scheduling system with methodology for scheduling queries for execution by a database management system is described. In one embodiment, for example, a method is described for scheduling a query job for execution by a database management system as separately executable sub-query tasks. Each sub-query task can have a lower execution cost than the execution cost of the query job as a whole. Further, each sub-query task can have the same or approximately the same execution cost. The method may be performed multiply or concurrently for multiple query jobs.
    [0008] The method includes obtaining the query job and a cost estimate to execute the job.
    As an example, the cost estimate may be a number of results the query job is expected to return.
    [0009] The method further includes dividing the query job into a plurality of sub-query tasks based on the cost estimate exceeding a predetermined threshold cost.
    [0010] The method further includes enqueing a query job item representing the query job onto the end (tail) of a job execution queue. When the query job item is enqueued, the job execution queue can contain other previously enqueued query job items corresponding to previously obtained query jobs.
    [0011] After the query job item reaches the front (head) of the job execution queue which in typical operation does not occur until all previously enqueued query job items have been dequeued from the front of the job execution queue, the method further includes dequeing the query job item from the front of the job execution queue.
    [0012] After dequeing the query job item, the method initiates execution of the first subquery task of the query job by the database management system. After causing the database management system to begin executing the first sub-query task of the query job, the method determines whether there are more sub-query tasks of the query job to execute. If there are more sub-query tasks to execute, then the method again enqueues the query job item onto the end of the job execution queue. The dequeing of the query job item from the front of the job execution queue, initiating execution of the next sub-query task of the query job, and enqueing the query job item back onto the end of the job execution queue can be repeated until execution of all of the sub-query tasks of the query job have been initiated.
    [0013] If, after dequeing a query job item from the front of the job execution queue and initiating execution of the last sub-query task, there are no more sub-query tasks to execute, then the query job item is not enqueued again onto the end of the job execution queue.
    [0014] In some embodiments, the method enforces a maximum number of query job items that can be enqueued onto the job execution at the same time. In particular, a query job item for a newly obtained query job is not enqueued onto the end of the job execution queue if the number of query job items already in the job execution queue is at the maximum number. The query job item is enqueued onto the job execution after an existing query job item is dequeued and the method determines that there are no more sub-query tasks to execute for the query job corresponding to the dequeued query job item. Since multiple query jobs can be obtained when the number of query job items already in the job execution queue is at the maximum number, a separate queue can be maintained to hold query job items for query jobs that are waiting to be added to job execution queue. Enforcing the maximum number of query job items that can be enqueued onto the job execution at the same time effectively limits the number of sub-query tasks concurrently executed by the database management system and can avoid negatively affecting throughput of query loads with a large number of high cost queries.
    [0015] Further features of various embodiments of the invention, its nature and various advantages will be more apparent from the accompanying drawings and the following detailed description.
    BRIEF DESCRIPTION OF THE DRAWINGS
    [0016] FIG. 1 is a block diagram illustrating a fair scheduling system, according to an embodiment;
    [0017] FIG. 2 is a block diagram illustrating a possible database data model for storing network access information, according to an embodiment;
    [0018] FIG. 3A and FIG. 3B comprise a single flowchart illustrating operation of the fair scheduling system according to an embodiment;
    [0019] FIG. 4 is a block diagram of a computer system upon which embodiments can be implemented.
    DETAILED DESCRIPTION
    [0020] In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, that the present invention may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to avoid unnecessarily obscuring the present invention.
    [0021] GENERAL OVERVIEW
    [0022] Techniques are provided for fairly scheduling queries for execution by database management systems. In one embodiment, the techniques involve obtaining a computer-executable job and a cost estimate to execute the job. For example, the computer-executable job can be a query and the cost estimate can be a number of results the query is expected to return.
    [0023] Based on the cost estimate exceeding a threshold cost, the job is divided into a sequence of computer-executable tasks. For example, if the query is expected to return 50,000 results and the threshold cost is 1,000 results, the query can be divided evenly into 50 sub-query tasks each of which returns 1,000 results. The techniques further involve enqueing a job item representing the job onto the end of a job execution queue. Other previously obtained jobs can be similarly divided and job items representing those other jobs similarly previously enqueued onto the end of the job execution queue.
    [0024] After the job item for the job has reached the front of the job execution queue, the job item is dequeued from the front of the job execution queue. After dequeing the job item, the techniques further involve causing execution of the first task of the job to be initiated by a database management system. After initiating execution of the first task, a determination is made whether there are more tasks of the job to execute. If there are more tasks of the job to execute, the job item for the job is re-enqueued onto the end of the job execution queue. If there are no more tasks of the job to execute, then the job item is not re-enqueued. The dequeing, initiating execution of the next task of the job, and re-enqueing of the job item repeats until all tasks of the job have completed or the job is cancelled. The dequeing, initiating execution of the next task, and re-enqueing can be similarly repeated for all job items in the job execution queue.
    [0025] According to one aspect, the techniques involving dividing a query job into multiple sub-query tasks where each sub-query task, when executed, returns a “page” of the results that the query job would return if executed as a single task. For example, a query job that is expected to return 50,000 results can be divided into 50 sub-query tasks where the first sub-query task returns the first 1,000 results of the 50,000 results, the second sub-query task returns the next 1,000 results of the 50,000 results, etc. to the fiftieth sub-query task of that returns the last 1,000 results of the 50,000 results.
    [0026] FAIR SCHEDULING SYSTEM
    [0027] FIG. 1 is a block diagram illustrating a fair scheduling system, according to an embodiment. The system 100 includes one or more clients 102 operatively coupled to fair scheduler 104. Fair scheduler 104 is operatively coupled to database management system 106 which is operatively coupled to database 108.
    [0028] Clients 102 can be any set of one or more computing devices that submit query job requests to fair scheduler 104. Examples of clients 102 include, but are not limited to, personal computing devices, desktop computing devices, workstation computing devices, server computing devices, mobile phones, tablets, laptops or any other phone or general-purpose computing device that is executing software for submitting query job requests to fair scheduler 104. Clients 102 also may comprise processes or programs.
    [0029] Clients 102 can be operated by users in which case the users can command clients 102 to submit query job requests to fair scheduler 104. Such commands can be caused by user interactions with graphical user interfaces or command line interfaces, for example.
    Alternatively, clients 102 can operate “unattended”. In this case, an automated process executing on clients 102 can submit query job requests to fair scheduler 104. In addition, some clients 102 can be operated by users and other clients 102 can operate unattended. Thus, a mix of useroperated and unattended clients 102 is possible. In some usage scenarios, multiple clients 102 submit multiple query job requests to the fair scheduler 104 at or about the same time.
    [0030] Fair scheduler 104 can be any set of one or more computing devices configured to perform any of the fair scheduling techniques described herein. Examples of fair scheduler 104 include, but are not limited to, personal computing devices, desktop computing devices, workstation computing devices, server computing devices, or any other general-purpose computing device that is executing software for performing any of the fair scheduling techniques described herein.
    [0031] Database management system 106 can be any set of one or more computing devices used to execute queries against database 108. Examples of database management system 106 include, but are not limited to, personal computing devices, desktop computing devices, workstation computing devices, server computing devices, or any other general-purpose computing device that is executing database management software. The database management software can be any database management software capable of supporting any of the fair scheduling techniques disclosed herein. In one exemplary non-limiting embodiment, the database management software is a version of Apache Cassandra. In another exemplary non-limiting embodiment, the database management software is a version of Apache HBase.
    [0032] Database 108 can be any set of one or more computing devices used to store data against which the database management system 106 executes queries. Examples of database 108 include, but are not limited to, personal computing devices, desktop computing devices, workstation computing devices, server computing devices, or any other general-purpose computing device that is storing database data managed by database management system 106.
    [0033] In some embodiments such as the embodiment of the FIG. 1, clients 102, fair scheduler 104, database management system 106, and database 108 are each separate sets of computing devices. In other embodiments, one or more of clients 102, fair scheduler 104, database management system 106, and database 108 are the same set of computing devices in other embodiments. For example, client 102, fair scheduler 104, database management system 106, and database 108 can be the same computing device. Where more than one of clients 102, fair scheduler 104, database management system 106, and database 108 are the same set of computing devices, software components executing on the computing devices can execute as part of the same process or the same set of processes or in different processes or different sets of processes. For example, where the fair scheduler 104 and the database management system 106 are the same set of computing devices, software components for performing fair scheduling techniques described herein and software components for executing queries against database 108 can execute as part of the same Java Virtual Machine (JVM) process or set of processes.
    [0034] If executing in separate processes or separate sets of processes, software components of clients 102, fair scheduler 104, and database management system 106 can communicate with each other using any suitable inter-process communications mechanism including, but not limited to, networking communications protocols such as, for example, Transmission Control Protocol/Internet Protocol (TCP/IP). If executing in the same process, the software components can communicate with each other through one or more Application Programming Interfaces (APIs).
    [0035] QUERY JOB REQUESTS
    [0036] In an embodiment, clients 102 submit query job requests to the fair scheduler 104. A query job request can contain values for query parameters and can contain a query execution cost estimate, among other information. As discussed in greater detail below, the fair scheduler 104 can use the query parameter values and the cost estimate in the query job request when causing sub-query tasks of query job to be executed by the database management system 106.
    [0037] The query parameters can vary between different query jobs according to the requirements of the implementation at hand. One non-limiting example of a query job is: get the group of columns contained by a specified column family for a specified row of the column family that satisfy a specified column name range predicate. An example of such a query job expressed according a version of the Apache Cassandra Thrift API is: get_slice("key" : key, "column parent" : {"column family" : column family}, "predicate" : { "slice_range" : { "start" : start_column_name, "end" : end column name, "reverse" : reverse, "count" : count } } )
    [0038] In the above-example query job, there are six query parameters: key, column_f amily, start_column_name, end_column_name, reverse, and count. Other query jobs may have more or less query parameters or different query parameters. In the above-example query job, values for one or more of the six query parameters can be specified in a query job request. Values for any other query parameters that are not specified in the query job request can be provided by the fair scheduler. For example, a query job request can specify a value for the key parameter and a value for the start_column_name parameter and the fair scheduler 104 can provide values for the column_f amily, end_column_name, reverse, and count query parameters, as just one example.
    [0039] In the above-example query job, the value of the key query parameter uniquely identifies a row in the column family specified by the value of the column_f amily parameter. The columns of that row of that column family can be ordered by column name. The value of the reverse parameter is a Boolean value. If the value of the reverse parameter is false, then the column name range predicate of the above-example query job restricts results to columns having a column name that is greater than or equal to the value of start_column_name parameter and less than or equal to the value of the end_column_name parameter. If the value of the reverse parameter is true, then the column name range predicate restricts results to columns having a column name that is less than or equal to the value of start_col umn_n ame parameter and greater than or equal to the value of the end_column_name parameter. The value of the count parameter limits the number results to the specified number of the columns that satisfy the column name range predicate.
    [0040] EXAMPLE QUERY JOB REQUEST
    [0041] For the purpose of providing clear examples, embodiments of the fair scheduling techniques of the present disclosure are described hereinafter with respect to an example query job request. However, the techniques are not limited to the example query job request.
    [0042] The example query job request follows an example use case in which network access information is stored in a column family of the database by network address of the accessing network device and the time of the network access.
    [0043] A possible data model 200 of a database 108 for storing the network access information is illustrated in FIG. 2. The data model 200 includes a column family 202. The column family 202 contains one or more rows. Each row can be keyed by a unique key. For example, key 204 can uniquely identify the first row of column family 202. Each row can contain a set of zero or more ordered columns. Each column can have a name and a value.
    Within a row, each column name can be unique. The columns of a row can be ordered by column name according to an ordering scheme. Example ordering schemes include ASCII, UTF-8, Long, UUID (lexical or time), date, a combination two or more of the foregoing ordering schemes, and other ordering schemes. Different rows can have different numbers of columns. For example, one row can have only one column and another row can have a billion or more columns.
    Different column values may have different sizes. For example, one column value can be just a few bytes in size while another column value can be 1 gigabyte or more in size.
    [0044] For the use case of storing network access information, each key of the column family 202 can be a network address. For example, key 204 may be an Internet Protocol (IP) address such as “192.168.0.10”. The columns in a row of the column family 202 can store information about network access involving the network address identified by the key of the row. For example, each column of the row can correspond to a single network access event involving the network address. For example, the name of the column within a row can be a unique timestamp value (unique for a column name within the row) representing the date and time of the network access event and the value of the column can be information about the network access event such as information collected from network access logs, e-mail messages, call data records, etc.
    [0045] In a variation of on the example use case, each column of a row can correspond to multiple network access events involving the network address. For example, the name of the column within the row can be a unique timestamp value (unique for a column name within the row) representing a range of time during which one or more network access events involving the network address occurred. The name of the column can correspond to the starting time of the range. Recalling that columns of a row can be stored in ascending order by column name, the ending time of the range can be determined from the name of the next column in the row. The value of the column can include one or more sub-values. The value can be variable length encoded or otherwise encoded or compressed. Each sub-value can correspond to a single network access event involving the network address. A sub-value corresponding to a network access event can have three parts: • An offset from the time in the column name. The time at which the corresponding network access event occurred can be determined from the column name and the offset; • A pointer to a block of information containing information about one or more network access events including the corresponding network address event. For example, the pointer can be a key and a column name of another column family that stores blocks of information about network access events.
    • A sub-block identifier that identifies, within the block of information identified by the pointer, sub-information about the corresponding network access event. For example, the sub-block identifier can be a byte offset range or a line number range that identifies the sub-information within the block of information.
    [0046] Different query job requests can request different numbers of results. For example, with the example use cases, the number of results returned can depend on the range of time specified in the query job requests. For example, one query job request can request network access information involving a specified network address for a range of time that spans days, weeks, or months while another query job request can request network access information for a range of time that spans minutes. The query job request for the larger span of time can return tens of thousands of results or more while the query job request for the smaller span of time can return only ten results of less. If the larger query job is executed by the database management system 106 concurrently with the smaller query job, the latency of the smaller query job can be negatively affected by the concurrent execution of the larger query job.
    [0047] QUERY JOB COST ESTIMATE
    [0048] As mentioned above, a query job request from a client 102 can include a cost estimate for the database management system 106 to execute the query job. For example, the query job request can specify the number of results the query job is expected to return. For example, for the above example query job involving network access information, a query job request can specify a number of columns that the query job is expected to return.
    [0049] Alternatively, a query job request may not specify a query job cost estimate. In this case, the fair scheduler 104 may generate a query cost estimate. Such estimate may be generated in a number of different ways and the fair scheduler 104 is not limited to any particular way of generating a query cost estimate. For example, the fair scheduler 104 may generate a query cost estimate based on query parameters values specified in the query job request. For example, the fair scheduler 104 may ask the database management system 106 for a cost estimate providing the query parameter values for use by the database management system in generated the cost estimate. The database management system may not completely execute the query job when generating the estimate. The fair scheduler 104 may generate a query cost estimate in other ways and embodiments are not limited to any particular way of generating a query cost estimate.
    [0050] As yet another alternative, a final query cost estimate may be generated based on a combination of a query cost estimate provided in a query job request and an preliminary query cost estimate generated by the fair scheduler 104. The preliminary cost estimate may be generated according to the approach in the previous paragraph, for example. For example, the fair scheduler 104 may generate the final query cost estimate based on a mathematical combination of the query cost estimate in the query job request and the preliminary query cost estimate generated by the fair scheduler. This alternative can be performed by the fair scheduler to reduce cost estimation errors relative the above approaches where only one of the query job request or the fair scheduler 104 provides the cost estimate.
    [0051] THRESHOLD COST
    [0052] As indicated above, the query cost estimate for a query job is used by the fair scheduler 104 to determine whether the query job should be broken down into separately executable sub-query tasks. This determination can be made by comparing the query cost estimate to a threshold cost. If the query cost estimate exceeds the threshold cost, then the fair scheduler can cause the query job to be executed by the database management system 106 as multiple sub-query tasks. If the query cost estimate is lower than the threshold cost, then the query job can be executed as a single query task.
    [0053] The threshold cost can be predefined. For example, a query job with a cost estimate above 1,000 results can be broken up into multiple separately executable sub-query tasks. In this case, if the cost estimate is at or below 1,000, the query job can be executed as a single task.
    [0054] The threshold cost can be determined based on query execution metrics collected for previously executed query jobs. Such metrics can include measured executions latencies of the previously executed query jobs. Execution latency for a query job can be measured, for example, as the time between: • when the query job starts execution and when the first result of the query job is returned, • when the query job starts execution and when the last result of the query job is returned, • a mathematical combination of the above two execution latency metrics.
    [0055] Query execution metrics collected for previously executed query jobs can also include measured execution throughput. Measured execution throughput can be measured, for example, as the number of query jobs that start and finish execution within a certain period of time.
    [0056] Collected query execution metrics can be used by the fair scheduler to adjust the threshold cost on an ongoing basis.
    [0057] DIVIDING QUERY JOBS
    [0058] As mentioned above, the fair scheduler can divide the query job into multiple subquery tasks if the cost estimate for the query exceeds the threshold cost. In one approach, the fair scheduler divides the query job evenly based on the cost estimate and the current threshold cost. For example, if the cost estimate for a query job is 100,000 results and the current threshold cost is 1,000 results, the fair scheduler can divide the query job into 100 sub-query tasks each expected to return 1,000 results. By dividing each query job of a mixed-query load evenly, or approximately evenly, as separately executable sub-query tasks that are executed in a round-robin fashion through the job execution queue, the high cost query jobs of the mixed-load are executed fairly with the low cost query jobs of the mixed-load thereby preventing the high cost query jobs from starving the low cost query jobs for computing resources of the database management system.
    [0059] In other approaches, query jobs are divided unevenly. For example, a query job that exceeds the threshold cost can be divided into multiple sub-query tasks where each successive sub-query task is expected to return fewer and fewer results (or, alternatively, more and more results).
    [0060] PAGING QUERY RESULTS
    [0061] The fair scheduler 104 can divide a query job into multiple sub-query tasks by using a result limiter for each of the sub-query tasks. The result limiter limits the number of results that the sub-query task returns when executed by the database management system 106. For example, the count query parameter can be used in the following sub-query task to limit the number of results returned when the sub-query task executed by the database management system 106 to at most the specified number of results.
    get_slice("key" : key, "column_parent" : {"column_family" : column_family}, "predicate" : { "slice_range" : { "start" : start_column_name, "end" : end column name, "reverse" : reverse, "count" : count } } )
    [0062] If a sub-query task, when executed, actually returns the number of results specified as the result limiter, then the fair scheduler 104 can determine that more results of the query job are available. In this case, the fair scheduler 104 can configure the next sub-query task to get the next set of results based on the last result returned by the previous sub-query task. For example, given a threshold cost of 1,000 results and a query job request with a cost estimate of 10,000 results, the fair scheduler 104 can cause the database management system 106 to execute the following sub-query task to obtain the first 1,000 results: get_slice("key" : key, "column_parent" : {"column_family" : column_family}, "predicate" : { "slice_range" : { "start" : start column name, "end" : w, "reverse" : reverse, "count" : 1000 } } )
    [0063] In the above example sub-query task, the value ' ’ for the end sub-parameter indicates to the database management system 106 that at most 1000 columns should be returned from the row keyed by the value for the key parameter starting with the column in the row having the name matching the value of the start_column_name parameter. If less than 1000 columns are returned by this sub-query task, then the query job is finished and no more subquery tasks need be executed for the query job. If this is the case, the query estimate of 10,000 columns was inaccurate by an order of magnitude. If, as expected, 1,000 columns are returned by this sub-query tasks, then the next sub-query task for the query job can be configured based on the name of the last column returned by the previous sub-query task. For example, assume the parameter last_column_name holds as its value the name of the last column (e.g., the 1000th column) returned by the first sub-query task that returned the first 1,000 columns. The fair scheduler 104 can cause the database management system to execute the following sub-query task to obtain the next 1,000 results: get_slice("key" : key, "column parent" : {"column family" : column family}, "predicate" : { "slice_range" : { "start" : last_column_name, "end" : w, "reverse" : reverse, "count" : 1001 } } )
    [0064] Here, since name of the last column returned by the previous sub-query task is provided as the value for the start parameter in this sub-query task, the first column returned by this sub-query task will be the same as the last column returned by the previous sub-query task. This is done to avoid inadvertently skipping columns between two consecutively executed sub-query tasks for a query job. Accordingly, a value of 1001 is provided for the count parameter to obtain the next 1,000 columns.
    [0065] The above paging scheme assumes that the columns within a row are ordered by column name and the names of the columns within the row are unique within the row. More generally, the above paging scheme can be applied over a set of potential results in which each potential result is ordered within the set by a unique value associated with the potential result.
    [0066] METHOD OF OPERATION
    [0067] The following description presents method steps that may be implemented using computer-executable instructions, for directing operation of a device under processor control.
    The computer-executable instructions may be stored on a computer-readable medium, such as hard disk, CD, DVD, flash memory, or the like. The computer-executable instructions may also be stored as a set of downloadable computer-executable instructions, for example, for downloading and installation from an Internet location (e.g., Web server).
    [0068] FIG. 3A and FIG. 3B comprise a single flowchart 300 illustrating overall operation of the fair scheduling system, according to an embodiment. The method of operation starts at step 302, with the system obtaining a query job. How the system obtains the query job is not of particular importance. For example, the system can obtain the query job in a query job request or some other way. At a minimum the query job contains a specification of one or more query parameters.
    [0069] At step 304, the system obtains a cost estimate for the query job. As with the query job, how the system obtains the cost estimate is not particularly important. For example, the cost estimate may be specified in a query job request if the query job was obtained in a query job request. As another example, the cost estimate may be obtained from a cost analysis of the query job performed by the system. The cost analysis may be based on the query parameters specified in the query job.
    [0070] At step 306, the system obtains a threshold cost in some manner. The threshold cost may be predetermined before step 302 (i.e., before the query job is obtained). Generally, a threshold cost is selected so that high cost query jobs are broken down into multiple separately executable lower cost sub-query tasks. If the threshold cost is too high, not enough high cost query jobs may be broken down into multiple separately executable lower cost sub-query tasks by the system thereby causing excessive starvation of concurrently executing low cost query jobs for shared computing resources. If, on the other hand, the threshold cost is too low, low cost query jobs may be unnecessarily broken down into multiple separately executable lower cost sub-query tasks by the system thereby causing excessive latency for the low cost query jobs.
    [0071] The threshold cost may be configured by an administrator of the system. During operation, the system may dynamically adjust the threshold cost based on query workload history. Such history may include query execution metrics for low cost and high cost query jobs. Such query execution metrics can include latency and throughput of query jobs, among other metrics.
    [0072] At step 308, the system determines whether the obtained cost estimate exceeds (or equals) the obtained threshold cost. If so, system determines (step 310) to divide the query job into multiple separately executable sub-query tasks. The division may be based on the cost estimate and the threshold cost. For example, the query job can be divided evenly into N subquery tasks where N is the ((cost estimate / threshold cost) + 1). In this case, the first N-l tasks would be expected to have equal execution cost. The Nth task would be expected to have at most the execution cost of one of the first N-l tasks. If the system determines that the obtained cost estimate does not exceed (or equals) the obtained threshold cost, then the query job is not divided and executed as a single query task.
    [0073] Whether the query job is divided or not, at step 312, a job item representing the query job is enqueued to the end of a job execution queue. The job execution queue holds up to M number of job items where M represents the maximum number of query jobs that the system will allow the database management system to concurrently execute query tasks for. Like the threshold cost, the size of the job execution queue (e.g., the maximum number M of job items allowed in the job execution queue at one time) may be predetermined and/or dynamically adjusted based on query workload history. If the job execution queue has M job items in it when a new query job is obtained at step 302 (i.e., the job execution queue is full), then the system may block further processing of the new query job until an existing query job finishes execution (e.g., until an existing query job is cancelled and the job item for the query job is removed from the job execution queue or until all sub-query tasks of an existing query job have been executed and the job item for the query is dequeued from the job execution queue). The system may maintain another queue for ordering and tracking new query jobs that are obtained when the job execution queue is full.
    [0074] At step 314, the job item enqueued at step 312 is dequeued after the job item reaches the front of the job execution queue. The job item will not reach the front of the job execution queue until all job items closer to the front of the job execution queue have been dequeued or removed from the job execution queue. Among other information, a job item representing a query job enqueued onto the job execution queue may contain query job specification data such as query parameters for the query job. The job item may also contain fair scheduling bookkeeping data such as (a) the number of sub-query tasks the query job was divided into, if the query job was divided at step 310, (b) a numerical result limiter to be used for all sub-query tasks or per-sub-query tasks numerical result limiters, and (c) a paging value representing the last result returned from the most recently completed sub-query task which can be used to configure the next sub-query task.
    [0075] At step 316, the system causes the next sub-query task to be executed by the database management system. If the query job was not divided, the next sub-query task will be the only query task executed for the query job. If the query job was divided, then the next sub-query task is configured with a result limiter that limits the number of results returned by the database management system.
    [0076] At step 318, the system determines if there are more sub-query tasks of the query job to execute. If so, the method returns to step 312 to re-enqueue the job item for the query job to the end of the job execution queue. If, at step 318, there are no more sub-query tasks to execute, then the query job is considered to be finished and the job item for the query job is not reenqueued to the end of the job execution queue.
    [0077] Scheduling query jobs through the job execution may be performed by the system to ensure a fair scheduling of mixed query loads. Through the system’s use of the job execution queue, both high cost and low cost query jobs may be fairly and concurrently executed by the database management system in a round-robin fashion.
    [0078] CANCELLING A QUERY JOB
    [0079] It may be the case that execution of a sub-query task for a query job by the database management system is not progressing. For this or some other reason, a user of the fair scheduling system may wish to cancel a currently executing query job. Accordingly, in some embodiments, a request to the fair scheduling system to cancel a currently executing query job is received. Upon receiving the cancel request, the fair scheduling system removes the job item corresponding to the query job from the job execution queue. As a result, no further sub-query tasks of query job will be executed. This cancellation may have no effect on execution of the currently sub-query tasks
    [0080] In some embodiments in which the database management system operates on multiple computing nodes, the system re-submits a cancelled query job as a new query job with the same query parameters but for execution on a different computing node than the computing device that the cancelled query job was last executing on when cancelled. This is useful if the reason the cancelled query job was not progressing was because of a problem particular to the computing node on which the cancelled query job was last executing.
    [0081] The cancellation request may be provided by a user through a graphical user interface presented on the user’s personal computing device. For example, the user interface may present a list of currently executing query jobs and associated interactive graphical user interface elements for cancelling selected query jobs.
    [0082] HARDWARE OVERVIEW
    [0083] According to one embodiment, the techniques described herein are implemented by one or more special-purpose computing devices. The special-purpose computing devices may be hard-wired to perform the techniques, or may include digital electronic devices such as one or more application-specific integrated circuits (ASICs) or field programmable gate arrays (FPGAs) that are persistently programmed to perform the techniques, or may include one or more general purpose hardware processors programmed to perform the techniques pursuant to program instructions in firmware, memory, other storage, or a combination. Such special-purpose computing devices may also combine custom hard-wired logic, ASICs, or FPGAs with custom programming to accomplish the techniques. The special-purpose computing devices may be desktop computer systems, portable computer systems, handheld devices, networking devices or any other device that incorporates hard-wired and/or program logic to implement the techniques.
    [0084] For example, FIG. 4 is a block diagram that illustrates a computer system 400 upon which an embodiment of the invention may be implemented. Computer system 400 includes a bus 402 or other communication mechanism for communicating information, and a hardware processor 404 coupled with bus 402 for processing information. Hardware processor 404 may be, for example, a general purpose microprocessor.
    [0085] Computer system 400 also includes a main memory 406, such as a random access memory (RAM) or other dynamic storage device, coupled to bus 402 for storing information and instructions to be executed by processor 404. Main memory 406 also may be used for storing temporary variables or other intermediate information during execution of instructions to be executed by processor 404. Such instructions, when stored in non-transitory storage media accessible to processor 404, render computer system 400 into a special-purpose machine that is customized to perform the operations specified in the instructions.
    [0086] Computer system 400 further includes a read only memory (ROM) 408 or other static storage device coupled to bus 402 for storing static information and instructions for processor 404. A storage device 410, such as a magnetic disk or optical disk, is provided and coupled to bus 402 for storing information and instructions.
    [0087] Computer system 400 may be coupled via bus 402 to a display 412, such as a cathode ray tube (CRT), for displaying information to a computer user. An input device 414, including alphanumeric and other keys, is coupled to bus 402 for communicating information and command selections to processor 404. Another type of user input device is cursor control 416, such as a mouse, a trackball, or cursor direction keys for communicating direction information and command selections to processor 404 and for controlling cursor movement on display 412. This input device typically has two degrees of freedom in two axes, a first axis (e.g., x) and a second axis (e.g., y), that allows the device to specify positions in a plane.
    [0088] Computer system 400 may implement the techniques described herein using customized hard-wired logic, one or more ASICs or FPGAs, firmware and/or program logic which in combination with the computer system causes or programs computer system 400 to be a special-purpose machine. According to one embodiment, the techniques herein are performed by computer system 400 in response to processor 404 executing one or more sequences of one or more instructions contained in main memory 406. Such instructions may be read into main memory 406 from another storage medium, such as storage device 410. Execution of the sequences of instructions contained in main memory 406 causes processor 404 to perform the process steps described herein. In alternative embodiments, hard-wired circuitry may be used in place of or in combination with software instructions.
    [0089] The term “storage media” as used herein refers to any non-transitory media that store data and/or instructions that cause a machine to operation in a specific fashion. Such storage media may comprise non-volatile media and/or volatile media. Non-volatile media includes, for example, optical or magnetic disks, such as storage device 410. Volatile media includes dynamic memory, such as main memory 406. Common forms of storage media include, for example, a floppy disk, a flexible disk, hard disk, solid state drive, magnetic tape, or any other magnetic data storage medium, a CD-ROM, any other optical data storage medium, any physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, NVRAM, any other memory chip or cartridge. The terms computer readable medium and storage media as used herein may include non-transitory media as well as transmission media.
    [0090] Storage media is distinct from but may be used in conjunction with transmission media. Transmission media participates in transferring information between storage media. For example, transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise bus 402. Transmission media can also take the form of acoustic or light waves, such as those generated during radio-wave and infra-red data communications.
    [0091] Various forms of media may be involved in carrying one or more sequences of one or more instructions to processor 404 for execution. For example, the instructions may initially be carried on a magnetic disk or solid state drive of a remote computer. The remote computer can load the instructions into its dynamic memory and send the instructions over a telephone line using a modem. A modem local to computer system 400 can receive the data on the telephone line and use an infra-red transmitter to convert the data to an infra-red signal. An infra-red detector can receive the data carried in the infra-red signal and appropriate circuitry can place the data on bus 402. Bus 402 carries the data to main memory 406, from which processor 404 retrieves and executes the instructions. The instructions received by main memory 406 may optionally be stored on storage device 410 either before or after execution by processor 404.
    [0092] Computer system 400 also includes a communication interface 418 coupled to bus 402. Communication interface 418 provides a two-way data communication coupling to a network link 420 that is connected to a local network 422. For example, communication interface 418 may be an integrated services digital network (ISDN) card, cable modem, satellite modem, or a modem to provide a data communication connection to a corresponding type of telephone line. As another example, communication interface 418 may be a local area network (LAN) card to provide a data communication connection to a compatible LAN. Wireless links may also be implemented. In any such implementation, communication interface 418 sends and receives electrical, electromagnetic or optical signals that carry digital data streams representing various types of information.
    [0093] Network link 420 typically provides data communication through one or more networks to other data devices. For example, network link 420 may provide a connection through local network 422 to a host computer 424 or to data equipment operated by an Internet Service Provider (ISP) 426. ISP 426 in turn provides data communication services through the world wide packet data communication network now commonly referred to as the “Internet” 428. Local network 422 and Internet 428 both use electrical, electromagnetic or optical signals that carry digital data streams. The signals through the various networks and the signals on network link 420 and through communication interface 418, which carry the digital data to and from computer system 400, are example forms of transmission media.
    [0094] Computer system 400 can send messages and receive data, including program code, through the network(s), network link 420 and communication interface 418. In the Internet example, a server 430 might transmit a requested code for an application program through Internet 428, ISP 426, local network 422 and communication interface 418.
    [0095] The received code may be executed by processor 404 as it is received, and/or stored in storage device 410, or other non-volatile storage for later execution.
    [0096] In the foregoing specification, embodiments of the invention have been described with reference to numerous specific details that may vary from implementation to implementation. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense. The sole and exclusive indicator of the scope of the invention, and what is intended by the applicants to be the scope of the invention, is the literal and equivalent scope of the set of claims that issue from this application, in the specific form in which such claims issue, including any subsequent correction.
    权利要求:
    Claims (15)
    [1]
    A computer-implemented method, comprising: obtaining a computer-executable search job and a cost estimate for performing the search job; determine, on the basis of the cost estimate that exceeds threshold value costs, to divide the search job into a plurality of computer-executable sub-search tasks; having each of the plurality of sub-search tasks performed separately by a database management system.
    [2]
    The method of claim 1, wherein having each of the plurality of sub-search tasks separately perform each of the plurality of sub-search tasks comprises: arranging a job item representing the search job at the end of a job execution queue with a front end and an end; removing the job item after the job item has reached the front of the job execution queue; after extracting the job item from the queue, cause the database management system to initiate the execution of a first sub-search task from the plurality of sub-search tasks; after extracting the job item from the queue, determining if there are more sub-search tasks from the plurality of sub-search tasks to perform; in response to determining that there are more sub-search tasks from the plurality of sub-search tasks to perform, re-arranging the job item at the end of the job execution queue.
    [3]
    The method of claim 1 or 2, wherein having the database management system perform each of the plurality of sub-search tasks separately comprises: causing the database management system to initiate execution of a first sub-search task from the plurality of sub-search tasks, the first sub-search task includes a rate limiter that limits the number of results returned by the first sub-search task; after the database management system has finished performing the first sub-search task, determining a value of a final result returned by the database management system for the first sub-search task; causing the database management system to initiate execution of a subsequent sub-search task from the plurality of sub-search tasks, wherein the following sub-search task comprises the determined value of the last result returned by the database management system for the first sub-search task.
    [4]
    The method of any preceding claim, wherein the cost estimate is a number of results that the search is expected to return.
    [5]
    The method of any preceding claim, further comprising: responsive to receiving a request to cancel the search job, removing a job item representing the search job from a job execution queue.
    [6]
    The method of any preceding claim, further comprising: at a first time point, removing a job item representing a first search job from a job execution queue with a front and an end; wherein at the first time point, a sub-search task of the first search job is performed on a first node of the database management system; at a second time that is after the first time: generating a second search job based on the first search job, arranging a job item representing the second search job at the end of the job execution queue, and causing the database management system to initiate from performing a first sub-search task of the second search job on a second node of the database management system that is not the first node.
    [7]
    The method of any preceding claim, further comprising: detecting that a job execution row, with a front and an end, is full; and arranging a job item that represents the search job at the end of the job execution queue after the job execution queue is no longer full.
    [8]
    A computer-readable media that stores instructions which, when executed by one or more computing devices, cause execution of a method according to any of claims 1-7.
    [9]
    9. One or more computing devices, comprising: means for obtaining a search job executable with a computer and a cost estimate for performing the search job; means for determining to divide the search job into a plurality of computer-executable sub-search tasks based on the fact that the cost estimate exceeds threshold value costs; means for having each of the plurality of sub-search tasks performed separately by a database management system.
    [10]
    The one or more computing devices of claim 9, wherein the means for causing each of the plurality of sub-search tasks to be performed separately by the database management system comprises: means for arranging a job item representing the search job at the end of a job execution row with a front and an end; means for removing the job item from the queue after the job item has reached the front of the job execution queue; means for causing the database management system to initiate execution of a first sub-search task from the plurality of sub-search tasks after removing the job item from the queue; means for determining if there are more sub-search tasks from the plurality of sub-search tasks to perform after taking the job item out of the queue; means for re-queuing the job item at the end of the job execution queue in response to determining that there are more sub-search tasks from the plurality of sub-search tasks to perform.
    [11]
    The one or more computing devices of claim 9 or 10, wherein the means for causing each of the plurality of sub-search tasks to be performed separately by the database management system, comprises: means for performing the first sub-search task of the plurality of the database management system initiating sub-search tasks, wherein the first sub-search task comprises a rate limiter that limits the number of results returned by the first sub-search task; means for determining a value of a final result returned by the database management system for the first sub-search task after the database management system has finished performing the first sub-search task; means for causing the database management system to initiate execution of a subsequent sub-search task from the plurality of sub-search tasks, wherein the following sub-search task comprises the determined value of the last result returned by the database management system for the first sub-search task.
    [12]
    The one or more computing devices of any one of claims 9 to 11, wherein the cost estimate is a number of results that the search is expected to return.
    [13]
    The one or more computing devices of any one of claims 9 to 12, further comprising: means for removing a job item representing the search job from a job execution queue in response to receiving a request to cancel the search job.
    [14]
    The one or more computing devices of any one of claims 9 to 13, further comprising: means for removing, at a first time, a job item representing a first search job, from a job execution queue with a front and an end; wherein, at the first time point, a sub-search task of the first search job is performed on a first node of the database management system; means for generating, at a second time that is after the first time, a second search job based on the first search job; means for arranging, at the second time that is after the first time, a job item representing the second search job, at the end of the job execution queue, and means for, at the second time that is after the first time, cause the database management system to execute a first sub-search task of the second search job on a second node of the database management system that is not the first node.
    [15]
    The one or more computing devices of any one of claims 9 to 14, further comprising: means for detecting that a job execution queue, with a front and an end, is full; and means for arranging a job item representing the search job at the end of the job execution queue after the job execution queue is no longer full.
    类似技术:
    公开号 | 公开日 | 专利标题
    NL2012436B1|2016-02-10|Fair scheduling for mixed-query loads.
    US10452997B2|2019-10-22|Systems and techniques for utilizing resource aware queues and/or service sharing in a multi-server environment
    US10506043B2|2019-12-10|Rapid client-side component processing based on component relationships
    US10621530B2|2020-04-14|Self-organizing parallel deployment of database artifacts
    EP3058481B1|2019-09-11|Acceleration based on cached flows
    US9563426B1|2017-02-07|Partitioned key-value store with atomic memory operations
    US10235417B1|2019-03-19|Partitioned search of log events
    US9367418B2|2016-06-14|Application monitoring
    EP3644201A2|2020-04-29|Managing restrictions for middleware applications
    US9137276B2|2015-09-15|Managing message distribution in a networked environment
    NZ621812B|2014-10-29|Fair Scheduling For Mixed-Query Loads
    US20140040479A1|2014-02-06|Method for a self organizing load balance in a cloud file server network
    WO2013082743A1|2013-06-13|Method and device for improving concurrence performance of distributed object storage system
    US8805899B2|2014-08-12|Data channel utilization management in multi-user system
    US20210132993A1|2021-05-06|Rate limiting compliance assessments with multi-layer fair share scheduling
    US10313438B1|2019-06-04|Partitioned key-value store with one-sided communications for secondary global key lookup by range-knowledgeable clients
    CN110727666A|2020-01-24|Cache assembly, method, equipment and storage medium for industrial internet platform
    CN111737298A|2020-10-02|Cache data control method and device based on distributed storage
    CN112988806A|2021-06-18|Data processing method and device
    同族专利:
    公开号 | 公开日
    US10817513B2|2020-10-27|
    US9715526B2|2017-07-25|
    NL2012436B1|2016-02-10|
    US20140280034A1|2014-09-18|
    DE102014103488A1|2014-09-18|
    AU2014201034B1|2014-06-19|
    CA2845237A1|2014-09-14|
    US9092482B2|2015-07-28|
    NZ621812A|2014-07-25|
    GB201404553D0|2014-04-30|
    GB2513985A|2014-11-12|
    US20170293653A1|2017-10-12|
    US20150261817A1|2015-09-17|
    引用文献:
    公开号 | 申请日 | 公开日 | 申请人 | 专利标题
    EP0652513A1|1993-11-04|1995-05-10|International Business Machines Corporation|Task scheduler for a multiprocessor system|
    WO2012025915A1|2010-07-21|2012-03-01|Sqream Technologies Ltd|A system and method for the parallel execution of database queries over cpus and multi core processors|
    DE3625738A1|1986-07-30|1988-02-11|Goedecke Ag|2-ACYLOXYPROPYLAMINE DERIVATIVES, METHOD FOR THE PRODUCTION AND THEIR USE|
    US5109399A|1989-08-18|1992-04-28|Alamo City Technologies, Inc.|Emergency call locating system|
    EP0575358B1|1991-03-12|1997-07-09|Wang Laboratories, Inc.|Database management system graphical query front end|
    US5426747A|1991-03-22|1995-06-20|Object Design, Inc.|Method and apparatus for virtual memory mapping and transaction management in an object-oriented database system|
    US5428737A|1991-10-16|1995-06-27|International Business Machines Corporation|Comprehensive bilateral translation between SQL and graphically depicted queries|
    FR2684214B1|1991-11-22|1997-04-04|Sepro Robotique|INDEXING CARD FOR GEOGRAPHIC INFORMATION SYSTEM AND SYSTEM INCLUDING APPLICATION.|
    JPH0689307A|1992-05-04|1994-03-29|Internatl Business Mach Corp <Ibm>|Device and method for displaying information in database|
    JP2710548B2|1993-03-17|1998-02-10|インターナショナル・ビジネス・マシーンズ・コーポレイション|Method for retrieving data and converting between Boolean algebraic and graphic representations|
    US5918225A|1993-04-16|1999-06-29|Sybase, Inc.|SQL-based database system with improved indexing methodology|
    US5794228A|1993-04-16|1998-08-11|Sybase, Inc.|Database system with buffer manager providing per page native data compression and decompression|
    US5794229A|1993-04-16|1998-08-11|Sybase, Inc.|Database system with methodology for storing a database table by vertically partitioning all columns of the table|
    US5608899A|1993-06-04|1997-03-04|International Business Machines Corporation|Method and apparatus for searching a database by interactively modifying a database query|
    US5911138A|1993-06-04|1999-06-08|International Business Machines Corporation|Database search facility having improved user interface|
    US5613105A|1993-06-30|1997-03-18|Microsoft Corporation|Efficient storage of objects in a file system|
    JP3385657B2|1993-08-10|2003-03-10|トヨタ自動車株式会社|Car navigation system|
    US5632009A|1993-09-17|1997-05-20|Xerox Corporation|Method and system for producing a table image showing indirect data representations|
    US5670987A|1993-09-21|1997-09-23|Kabushiki Kaisha Toshiba|Virtual manipulating apparatus and method|
    US6877137B1|1998-04-09|2005-04-05|Rose Blush Software Llc|System, method and computer program product for mediating notes and note sub-notes linked or otherwise associated with stored or networked web pages|
    US5742806A|1994-01-31|1998-04-21|Sun Microsystems, Inc.|Apparatus and method for decomposing database queries for database management system including multiprocessor digital data processing system|
    US5560005A|1994-02-25|1996-09-24|Actamed Corp.|Methods and systems for object-based relational distributed databases|
    US5542089A|1994-07-26|1996-07-30|International Business Machines Corporation|Method and apparatus for estimating the number of occurrences of frequent values in a data set|
    US5777549A|1995-03-29|1998-07-07|Cabletron Systems, Inc.|Method and apparatus for policy-based alarm notification in a distributed network management environment|
    US5872973A|1995-10-26|1999-02-16|Viewsoft, Inc.|Method for managing dynamic relations between objects in dynamic object-oriented languages|
    US6366933B1|1995-10-27|2002-04-02|At&T Corp.|Method and apparatus for tracking and viewing changes on the web|
    JP3410271B2|1995-12-28|2003-05-26|アルパイン株式会社|Navigation device|
    US5845300A|1996-06-05|1998-12-01|Microsoft Corporation|Method and apparatus for suggesting completions for a partially entered data item based on previously-entered, associated data items|
    US6321274B1|1996-06-28|2001-11-20|Microsoft Corporation|Multiple procedure calls in a single request|
    US5897636A|1996-07-11|1999-04-27|Tandem Corporation Incorporated|Distributed object computer system with hierarchical name space versioning|
    US5798769A|1996-08-15|1998-08-25|Xerox Corporation|Method and apparatus for maintaining links between graphic objects in a free-form graphics display system|
    CA2187704C|1996-10-11|1999-05-04|Darcy Kim Rossmo|Expert system method of performing crime site analysis|
    US5870559A|1996-10-15|1999-02-09|Mercury Interactive|Software system and associated methods for facilitating the analysis and management of web sites|
    US5974572A|1996-10-15|1999-10-26|Mercury Interactive Corporation|Software system and methods for generating a load test using a server access log|
    US6058373A|1996-10-16|2000-05-02|Microsoft Corporation|System and method for processing electronic order forms|
    JP2940501B2|1996-12-25|1999-08-25|日本電気株式会社|Document classification apparatus and method|
    US9053222B2|2002-05-17|2015-06-09|Lawrence A. Lynn|Patient safety processor|
    US5857329A|1997-03-14|1999-01-12|Deere & Company|One-piece combined muffler exhaust outlet and exhaust gas deflector|
    US6084510A|1997-04-18|2000-07-04|Lemelson; Jerome H.|Danger warning and emergency response system and method|
    US6477527B2|1997-05-09|2002-11-05|International Business Machines Corporation|System, method, and program for object building in queries over object views|
    US6026233A|1997-05-27|2000-02-15|Microsoft Corporation|Method and apparatus for presenting and selecting options to modify a programming language statement|
    US6091956A|1997-06-12|2000-07-18|Hollenberg; Dennis D.|Situation information system|
    US6208985B1|1997-07-09|2001-03-27|Caseventure Llc|Data refinery: a direct manipulation user interface for data querying with integrated qualitative and quantitative graphical representations of query construction and query result presentation|
    US6236994B1|1997-10-21|2001-05-22|Xerox Corporation|Method and apparatus for the integration of information and knowledge|
    US6073129A|1997-12-29|2000-06-06|Bull Hn Information Systems Inc.|Method and apparatus for improving the performance of a database management system through a central cache mechanism|
    JP3636272B2|1998-02-09|2005-04-06|富士通株式会社|Icon display method, apparatus thereof, and recording medium|
    US6247019B1|1998-03-17|2001-06-12|Prc Public Sector, Inc.|Object-based geographic information system |
    US7168039B2|1998-06-02|2007-01-23|International Business Machines Corporation|Method and system for reducing the horizontal space required for displaying a column containing text data|
    US6510504B2|1998-06-29|2003-01-21|Oracle Corporation|Methods and apparatus for memory allocation for object instances in an object-oriented software environment|
    US6577304B1|1998-08-14|2003-06-10|I2 Technologies Us, Inc.|System and method for visually representing a supply chain|
    US6243717B1|1998-09-01|2001-06-05|Camstar Systems, Inc.|System and method for implementing revision management of linked data entities and user dependent terminology|
    US6161098A|1998-09-14|2000-12-12|Folio , Inc.|Method and apparatus for enabling small investors with a portfolio of securities to manage taxable events within the portfolio|
    US6232971B1|1998-09-23|2001-05-15|International Business Machines Corporation|Variable modality child windows|
    US6460051B1|1998-10-28|2002-10-01|Starfish Software, Inc.|System and methods for synchronizing datasets in a communication environment having high-latency or other adverse characteristics|
    US6178519B1|1998-12-10|2001-01-23|Mci Worldcom, Inc.|Cluster-wide database system|
    US6418438B1|1998-12-16|2002-07-09|Microsoft Corporation|Dynamic scalable lock mechanism|
    US6279018B1|1998-12-21|2001-08-21|Kudrollis Software Inventions Pvt. Ltd.|Abbreviating and compacting text to cope with display space constraint in computer software|
    US7111231B1|1999-02-24|2006-09-19|Intellisync Corporation|System and methodology for dynamic application environment employing runtime execution templates|
    US6574635B2|1999-03-03|2003-06-03|Siebel Systems, Inc.|Application instantiation based upon attributes and values stored in a meta data repository, including tiering of application layers objects and components|
    KR100313198B1|1999-03-05|2001-11-05|윤덕용|Multi-dimensional Selectivity Estimation Using Compressed Histogram Information|
    US7418399B2|1999-03-10|2008-08-26|Illinois Institute Of Technology|Methods and kits for managing diagnosis and therapeutics of bacterial infections|
    US6631496B1|1999-03-22|2003-10-07|Nec Corporation|System for personalizing, organizing and managing web information|
    US6369835B1|1999-05-18|2002-04-09|Microsoft Corporation|Method and system for generating a movie file from a slide show presentation|
    US7760969B2|1999-05-25|2010-07-20|Silverbrook Research Pty Ltd|Method of providing information via context searching from a printed substrate|
    US6714936B1|1999-05-25|2004-03-30|Nevin, Iii Rocky Harry W.|Method and apparatus for displaying data stored in linked nodes|
    US6701485B1|1999-06-15|2004-03-02|Microsoft Corporation|Binding spreadsheet cells to objects|
    US6304873B1|1999-07-06|2001-10-16|Compaq Computer Corporation|System and method for performing database operations and for skipping over tuples locked in an incompatible mode|
    US6307573B1|1999-07-22|2001-10-23|Barbara L. Barros|Graphic-information flow method and system for visually analyzing patterns and relationships|
    US7039863B1|1999-07-23|2006-05-02|Adobe Systems Incorporated|Computer generation of documents using layout elements and content elements|
    US7373592B2|1999-07-30|2008-05-13|Microsoft Corporation|Modeless child windows for application programs|
    US6560620B1|1999-08-03|2003-05-06|Aplix Research, Inc.|Hierarchical document comparison system and method|
    US6976210B1|1999-08-31|2005-12-13|Lucent Technologies Inc.|Method and apparatus for web-site-independent personalization from multiple sites having user-determined extraction functionality|
    US6560774B1|1999-09-01|2003-05-06|Microsoft Corporation|Verifier to check intermediate language|
    US20020174201A1|1999-09-30|2002-11-21|Ramer Jon E.|Dynamic configuration of context-sensitive personal sites and membership channels|
    US6990238B1|1999-09-30|2006-01-24|Battelle Memorial Institute|Data processing, analysis, and visualization system for use with disparate data types|
    US6674434B1|1999-10-25|2004-01-06|Navigation Technologies Corp.|Method and system for automatic generation of shape and curvature data for a geographic database|
    US7630986B1|1999-10-27|2009-12-08|Pinpoint, Incorporated|Secure data interchange|
    US7216115B1|1999-11-10|2007-05-08|Fastcase.Com, Inc.|Apparatus and method for displaying records responsive to a database query|
    US7805423B1|1999-11-15|2010-09-28|Quest Software, Inc.|System and method for quiescing select data modification operations against an object of a database during one or more structural operations|
    US7716077B1|1999-11-22|2010-05-11|Accenture Global Services Gmbh|Scheduling and planning maintenance and service in a network-based supply chain environment|
    FR2806183B1|1999-12-01|2006-09-01|Cartesis S A|DEVICE AND METHOD FOR INSTANT CONSOLIDATION, ENRICHMENT AND "REPORTING" OR UPGRADING INFORMATION IN A MULTIDIMENSIONAL DATABASE|
    US7546353B2|1999-12-02|2009-06-09|Western Digital Technologies, Inc.|Managed peer-to-peer applications, systems and methods for distributed data access and storage|
    US7194680B1|1999-12-07|2007-03-20|Adobe Systems Incorporated|Formatting content by example|
    US6446062B1|1999-12-23|2002-09-03|Bull Hn Information Systems Inc.|Method and apparatus for improving the performance of a generated code cache search operation through the use of static key values|
    US20040117387A1|2000-02-25|2004-06-17|Vincent Civetta|Database sizing and diagnostic utility|
    US6859909B1|2000-03-07|2005-02-22|Microsoft Corporation|System and method for annotating web-based documents|
    US6456997B1|2000-04-12|2002-09-24|International Business Machines Corporation|System and method for dynamically generating an invisible hierarchy in a planning system|
    US6745382B1|2000-04-13|2004-06-01|Worldcom, Inc.|CORBA wrappers for rules automation technology|
    JP4325075B2|2000-04-21|2009-09-02|ソニー株式会社|Data object management device|
    US6642945B1|2000-05-04|2003-11-04|Microsoft Corporation|Method and system for optimizing a visual display for handheld computer systems|
    US6915289B1|2000-05-04|2005-07-05|International Business Machines Corporation|Using an index to access a subject multi-dimensional database|
    US7269786B1|2000-05-04|2007-09-11|International Business Machines Corporation|Navigating an index to access a subject multi-dimensional database|
    US8386945B1|2000-05-17|2013-02-26|Eastman Kodak Company|System and method for implementing compound documents in a production printing workflow|
    US6594672B1|2000-06-01|2003-07-15|Hyperion Solutions Corporation|Generating multidimensional output using meta-models and meta-outlines|
    US20020002552A1|2000-06-30|2002-01-03|Schultz Troy L.|Method and apparatus for a GIS based search engine utilizing real time advertising|
    US6839745B1|2000-07-19|2005-01-04|Verizon Corporate Services Group Inc.|System and method for generating reports in a telecommunication system|
    US7278105B1|2000-08-21|2007-10-02|Vignette Corporation|Visualization and analysis of user clickpaths|
    GB2366498A|2000-08-25|2002-03-06|Copyn Ltd|Method of bookmarking a section of a web-page and storing said bookmarks|
    US6795868B1|2000-08-31|2004-09-21|Data Junction Corp.|System and method for event-driven data transformation|
    US20020065708A1|2000-09-22|2002-05-30|Hikmet Senay|Method and system for interactive visual analyses of organizational interactions|
    AUPR033800A0|2000-09-25|2000-10-19|Telstra R & D Management Pty Ltd|A document categorisation system|
    US6829621B2|2000-10-06|2004-12-07|International Business Machines Corporation|Automatic determination of OLAP cube dimensions|
    US6640231B1|2000-10-06|2003-10-28|Ontology Works, Inc.|Ontology for database design and application development|
    US8707185B2|2000-10-10|2014-04-22|Addnclick, Inc.|Dynamic information management system and method for content delivery and sharing in content-, metadata- and viewer-based, live social networking among users concurrently engaged in the same and/or similar content|
    JP2002123530A|2000-10-12|2002-04-26|Hitachi Ltd|Method and device for visualizing multidimensional data|
    US6976024B1|2000-10-12|2005-12-13|International Buisness Machines Corporation|Batch submission API|
    US7158797B1|2000-10-13|2007-01-02|Ntt Multimedia Communications Laboratories, Inc.|Mobile information acquisition system|
    US7689560B2|2000-10-13|2010-03-30|Miosoft Corporation|Persistent data storage techniques|
    US7587428B2|2000-10-13|2009-09-08|Microsoft Corporation|Maintaining a relationship between two different items of data|
    US6857120B1|2000-11-01|2005-02-15|International Business Machines Corporation|Method for characterizing program execution by periodic call stack inspection|
    US6738770B2|2000-11-04|2004-05-18|Deep Sky Software, Inc.|System and method for filtering and sorting data|
    DE60124657T2|2000-11-08|2007-10-18|International Business Machines Corp.|Reduction of exclusion conflicts in SQL transactions|
    US7370040B1|2000-11-21|2008-05-06|Microsoft Corporation|Searching with adaptively configurable user interface and extensible query language|
    US7058648B1|2000-12-01|2006-06-06|Oracle International Corporation|Hierarchy-based secured document repository|
    US6779151B2|2001-01-05|2004-08-17|Microsoft Corporation|Storing objects in a spreadsheet|
    JP2002222083A|2001-01-29|2002-08-09|Fujitsu Ltd|Device and method for instance storage|
    US7299202B2|2001-02-07|2007-11-20|Exalt Solutions, Inc.|Intelligent multimedia e-catalog|
    AUPR313301A0|2001-02-15|2001-03-08|Topshop Holdings Pty Ltd|Method & system for avoiding channel conflict in electronic commerce|
    US6516268B2|2001-02-16|2003-02-04|Wizeguides.Com Inc.|Bundled map guide|
    US20060265397A1|2001-03-06|2006-11-23|Knowledge Vector, Inc.|Methods, systems, and computer program products for extensible, profile-and context-based information correlation, routing and distribution|
    US6985950B1|2001-03-06|2006-01-10|Microsoft Corporation|System for creating a space-efficient document categorizer for training and testing of automatic categorization engines|
    US7043702B2|2001-03-15|2006-05-09|Xerox Corporation|Method for visualizing user path through a web site and a path's associated information scent|
    US9256356B2|2001-03-29|2016-02-09|International Business Machines Corporation|Method and system for providing feedback for docking a content pane in a host window|
    JP3842573B2|2001-03-30|2006-11-08|株式会社東芝|Structured document search method, structured document management apparatus and program|
    US6775675B1|2001-04-04|2004-08-10|Sagemetrics Corporation|Methods for abstracting data from various data structures and managing the presentation of the data|
    US7499922B1|2001-04-26|2009-03-03|Dakota Software Corp.|Information retrieval system and method|
    US6742003B2|2001-04-30|2004-05-25|Microsoft Corporation|Apparatus and accompanying methods for visualizing clusters of data and hierarchical cluster classifications|
    IL158696D0|2001-05-11|2004-05-12|Computer Ass Think Inc|Method and system for transforming legacy software applications into modern object-oriented systems|
    US6980984B1|2001-05-16|2005-12-27|Kanisa, Inc.|Content provider systems and methods using structured data|
    US6496774B1|2001-05-24|2002-12-17|Prc Inc.|Automatic vehicle routing and recommendation system|
    US7877421B2|2001-05-25|2011-01-25|International Business Machines Corporation|Method and system for mapping enterprise data assets to a semantic information model|
    US7865427B2|2001-05-30|2011-01-04|Cybersource Corporation|Method and apparatus for evaluating fraud risk in an electronic commerce transaction|
    US6828920B2|2001-06-04|2004-12-07|Lockheed Martin Orincon Corporation|System and method for classifying vehicles|
    US8001465B2|2001-06-26|2011-08-16|Kudrollis Software Inventions Pvt. Ltd.|Compacting an information array display to cope with two dimensional display space constraint|
    US7155728B1|2001-06-28|2006-12-26|Microsoft Corporation|Remoting features|
    US7100147B2|2001-06-28|2006-08-29|International Business Machines Corporation|Method, system, and program for generating a workflow|
    WO2003005279A1|2001-07-03|2003-01-16|Altaworks Corporation|System and methods for monitoring performance metrics|
    US20030023620A1|2001-07-30|2003-01-30|Nicholas Trotta|Creation of media-interaction profiles|
    WO2003014975A1|2001-08-08|2003-02-20|Quiver, Inc.|Document categorization engine|
    US20030039948A1|2001-08-09|2003-02-27|Donahue Steven J.|Voice enabled tutorial system and method|
    US7028223B1|2001-08-13|2006-04-11|Parasoft Corporation|System and method for testing of web services|
    US20040205524A1|2001-08-15|2004-10-14|F1F9|Spreadsheet data processing system|
    US8660869B2|2001-10-11|2014-02-25|Adobe Systems Incorporated|System, method, and computer program product for processing and visualization of information|
    US6877136B2|2001-10-26|2005-04-05|United Services Automobile Association |System and method of providing electronic access to one or more documents|
    US7165101B2|2001-12-03|2007-01-16|Sun Microsystems, Inc.|Transparent optimization of network traffic in distributed systems|
    US7611602B2|2001-12-13|2009-11-03|Urban Mapping, Llc|Method of producing maps and other objects configured for presentation of spatially-related layers of data|
    US20070203771A1|2001-12-17|2007-08-30|Caballero Richard J|System and method for processing complex orders|
    US7970240B1|2001-12-17|2011-06-28|Google Inc.|Method and apparatus for archiving and visualizing digital images|
    US7475242B2|2001-12-18|2009-01-06|Hewlett-Packard Development Company, L.P.|Controlling the distribution of information|
    US7058622B1|2001-12-26|2006-06-06|Tedesco Michael A|Method, apparatus and system for screening database queries prior to submission to a database|
    US7454466B2|2002-01-16|2008-11-18|Xerox Corporation|Method and system for flexible workflow management|
    US7139800B2|2002-01-16|2006-11-21|Xerox Corporation|User interface for a message-based system having embedded information management capabilities|
    US7546245B2|2002-01-17|2009-06-09|Amsapplied Medical Software, Inc.|Method and system for gainsharing of physician services|
    US7640173B2|2002-01-17|2009-12-29|Applied Medical Software, Inc.|Method and system for evaluating a physician's economic performance and gainsharing of physician services|
    US7305444B2|2002-01-23|2007-12-04|International Business Machines Corporation|Method and system for controlling delivery of information in a forum|
    US7555755B2|2002-02-01|2009-06-30|John Fairweather|System and method for navigating data|
    AU2003214989A1|2002-02-04|2003-09-02|Intel Corporation|State record processing|
    US7519589B2|2003-02-04|2009-04-14|Cataphora, Inc.|Method and apparatus for sociological data analysis|
    US7533026B2|2002-04-12|2009-05-12|International Business Machines Corporation|Facilitating management of service elements usable in providing information technology service offerings|
    US7162475B2|2002-04-17|2007-01-09|Ackerman David M|Method for user verification and authentication and multimedia processing for interactive database management and method for viewing the multimedia|
    US20040012633A1|2002-04-26|2004-01-22|Affymetrix, Inc., A Corporation Organized Under The Laws Of Delaware|System, method, and computer program product for dynamic display, and analysis of biological sequence data|
    US7171427B2|2002-04-26|2007-01-30|Oracle International Corporation|Methods of navigating a cube that is implemented as a relational object|
    US7426559B2|2002-05-09|2008-09-16|International Business Machines Corporation|Method for sequential coordination of external database application events with asynchronous internal database events|
    US7127467B2|2002-05-10|2006-10-24|Oracle International Corporation|Managing expressions in a database system|
    US7539680B2|2002-05-10|2009-05-26|Lsi Corporation|Revision control for database of evolved design|
    US7703021B1|2002-05-24|2010-04-20|Sparta Systems, Inc.|Defining user access in highly-configurable systems|
    JP2003345810A|2002-05-28|2003-12-05|Hitachi Ltd|Method and system for document retrieval and document retrieval result display system|
    US20030229848A1|2002-06-05|2003-12-11|Udo Arend|Table filtering in a computer user interface|
    US7103854B2|2002-06-27|2006-09-05|Tele Atlas North America, Inc.|System and method for associating text and graphical views of map information|
    US7617179B2|2002-06-29|2009-11-10|Ianywhere Solutions, Inc.|System and methodology for cost-based subquery optimization using a left-deep tree join enumeration algorithm|
    US8244895B2|2002-07-15|2012-08-14|Hewlett-Packard Development Company, L.P.|Method and apparatus for applying receiving attributes using constraints|
    US7461158B2|2002-08-07|2008-12-02|Intelliden, Inc.|System and method for controlling access rights to network resources|
    US7076508B2|2002-08-12|2006-07-11|International Business Machines Corporation|Method, system, and program for merging log entries from multiple recovery log files|
    CA2398103A1|2002-08-14|2004-02-14|March Networks Corporation|Multi-dimensional table filtering system|
    US7263560B2|2002-08-30|2007-08-28|Sun Microsystems, Inc.|Decentralized peer-to-peer advertisement|
    GB0221257D0|2002-09-13|2002-10-23|Ibm|Automated testing|
    US7383513B2|2002-09-25|2008-06-03|Oracle International Corporation|Graphical condition builder for facilitating database queries|
    US7127352B2|2002-09-30|2006-10-24|Lucent Technologies Inc.|System and method for providing accurate local maps for a central service|
    WO2004036461A2|2002-10-14|2004-04-29|Battelle Memorial Institute|Information reservoir|
    US20040078251A1|2002-10-16|2004-04-22|Demarcken Carl G.|Dividing a travel query into sub-queries|
    US20040143602A1|2002-10-18|2004-07-22|Antonio Ruiz|Apparatus, system and method for automated and adaptive digital image/video surveillance for events and configurations using a rich multimedia relational database|
    WO2004038548A2|2002-10-21|2004-05-06|Sinisi John P|System and method for mobile data collection|
    US20040083466A1|2002-10-29|2004-04-29|Dapp Michael C.|Hardware parser accelerator|
    US20040085318A1|2002-10-31|2004-05-06|Philipp Hassler|Graphics generation and integration|
    US20040088177A1|2002-11-04|2004-05-06|Electronic Data Systems Corporation|Employee performance management method and system|
    US7546607B2|2002-11-19|2009-06-09|Microsoft Corporation|Native code exposing virtual machine managed object|
    US7243093B2|2002-11-27|2007-07-10|International Business Machines Corporation|Federated query management|
    US20040126840A1|2002-12-23|2004-07-01|Affymetrix, Inc.|Method, system and computer software for providing genomic ontological data|
    US8589273B2|2002-12-23|2013-11-19|Ge Corporate Financial Services, Inc.|Methods and systems for managing risk management information|
    US20040148301A1|2003-01-24|2004-07-29|Mckay Christopher W.T.|Compressed data structure for a database|
    US7752117B2|2003-01-31|2010-07-06|Trading Technologies International, Inc.|System and method for money management in electronic trading environment|
    US20040153418A1|2003-02-05|2004-08-05|Hanweck Gerald Alfred|System and method for providing access to data from proprietary tools|
    CA2419305C|2003-02-20|2006-03-21|Ibm Canada Limited - Ibm Canada Limitee|Unified logging service for distributed applications|
    US7099888B2|2003-03-26|2006-08-29|Oracle International Corporation|Accessing a remotely located nested object|
    US7627552B2|2003-03-27|2009-12-01|Microsoft Corporation|System and method for filtering and organizing items based on common elements|
    US7280038B2|2003-04-09|2007-10-09|John Robinson|Emergency response data transmission system|
    KR100996029B1|2003-04-29|2010-11-22|삼성전자주식회사|Apparatus and method for coding of low density parity check code|
    US20050027705A1|2003-05-20|2005-02-03|Pasha Sadri|Mapping method and system|
    US9607092B2|2003-05-20|2017-03-28|Excalibur Ip, Llc|Mapping method and system|
    US7233947B2|2003-05-22|2007-06-19|Microsoft Corporation|Timestamping in databases|
    US7369912B2|2003-05-29|2008-05-06|Fisher-Rosemount Systems, Inc.|Batch execution engine with independent batch execution processes|
    US7620648B2|2003-06-20|2009-11-17|International Business Machines Corporation|Universal annotation configuration and deployment|
    US20040267746A1|2003-06-26|2004-12-30|Cezary Marcjan|User interface for controlling access to computer objects|
    CA2472887A1|2003-06-30|2004-12-30|Gravic, Inc.|Methods for ensuring referential integrity in multithreaded replication engines|
    US20050021397A1|2003-07-22|2005-01-27|Cui Yingwei Claire|Content-targeted advertising using collected user behavior data|
    US7055110B2|2003-07-28|2006-05-30|Sig G Kupka|Common on-screen zone for menu activation and stroke input|
    US7216133B2|2003-07-29|2007-05-08|Microsoft Corporation|Synchronizing logical views independent of physical storage representations|
    US7139772B2|2003-08-01|2006-11-21|Oracle International Corporation|Ownership reassignment in a shared-nothing database system|
    US7363581B2|2003-08-12|2008-04-22|Accenture Global Services Gmbh|Presentation generator|
    US7516086B2|2003-09-24|2009-04-07|Idearc Media Corp.|Business rating placement heuristic|
    US7334195B2|2003-10-14|2008-02-19|Microsoft Corporation|System and process for presenting search results in a histogram/cluster format|
    US7584172B2|2003-10-16|2009-09-01|Sap Ag|Control for selecting data query and visual configuration|
    US7536696B2|2003-10-24|2009-05-19|Microsoft Corporation|Mechanism for handling input parameters|
    US8627489B2|2003-10-31|2014-01-07|Adobe Systems Incorporated|Distributed document version control|
    US7324995B2|2003-11-17|2008-01-29|Rackable Systems Inc.|Method for retrieving and modifying data elements on a shared medium|
    US20050131935A1|2003-11-18|2005-06-16|O'leary Paul J.|Sector content mining system using a modular knowledge base|
    US7254590B2|2003-12-03|2007-08-07|Informatica Corporation|Set-oriented real-time data processing based on transaction boundaries|
    US20050125715A1|2003-12-04|2005-06-09|Fabrizio Di Franco|Method of saving data in a graphical user interface|
    US7818658B2|2003-12-09|2010-10-19|Yi-Chih Chen|Multimedia presentation system|
    US7917376B2|2003-12-29|2011-03-29|Montefiore Medical Center|System and method for monitoring patient care|
    US7181228B2|2003-12-31|2007-02-20|Corporation For National Research Initiatives|System and method for establishing and monitoring the relative location of group members|
    US8352174B2|2004-01-15|2013-01-08|Algotec Systems Ltd.|Targeted marching|
    US7872669B2|2004-01-22|2011-01-18|Massachusetts Institute Of Technology|Photo-based mobile deixis system and related techniques|
    US20050166144A1|2004-01-22|2005-07-28|Mathcom Inventions Ltd.|Method and system for assigning a background to a document and document having a background made according to the method and system|
    US7343552B2|2004-02-12|2008-03-11|Fuji Xerox Co., Ltd.|Systems and methods for freeform annotations|
    US20050180330A1|2004-02-17|2005-08-18|Touchgraph Llc|Method of animating transitions and stabilizing node motion during dynamic graph navigation|
    US20050182793A1|2004-02-18|2005-08-18|Keenan Viktor M.|Map structure and method for producing|
    US7085890B2|2004-02-19|2006-08-01|International Business Machines Corporation|Memory mapping to reduce cache conflicts in multiprocessor systems|
    US7596285B2|2004-02-26|2009-09-29|International Business Machines Corporation|Providing a portion of an electronic mail message at a reduced resolution|
    US20050210409A1|2004-03-19|2005-09-22|Kenny Jou|Systems and methods for class designation in a computerized social network application|
    US7599790B2|2004-03-23|2009-10-06|Google Inc.|Generating and serving tiles in a digital mapping system|
    CA2820249C|2004-03-23|2016-07-19|Google Inc.|A digital mapping system|
    US7865301B2|2004-03-23|2011-01-04|Google Inc.|Secondary map in digital mapping system|
    US20060026120A1|2004-03-24|2006-02-02|Update Publications Lp|Method and system for collecting, processing, and distributing residential property data|
    US7269801B2|2004-03-30|2007-09-11|Autodesk, Inc.|System for managing the navigational usability of an interactive map|
    US20050226473A1|2004-04-07|2005-10-13|Subramanyan Ramesh|Electronic Documents Signing and Compliance Monitoring Invention|
    EP1769433A4|2004-04-26|2009-05-06|Right90 Inc|Forecasting data with real-time updates|
    US20050246327A1|2004-04-30|2005-11-03|Yeung Simon D|User interfaces and methods of using the same|
    CN101084496B|2004-05-04|2012-11-21|波士顿咨询集团公司|Method and apparatus for selecting, analyzing, and visualizing related database records as a network|
    US20050251786A1|2004-05-07|2005-11-10|International Business Machines Corporation|System and method for dynamic software installation instructions|
    GB2414576A|2004-05-25|2005-11-30|Arion Human Capital Ltd|Business communication monitoring system detecting anomalous communication patterns|
    US8161122B2|2005-06-03|2012-04-17|Messagemind, Inc.|System and method of dynamically prioritized electronic mail graphical user interface, and measuring email productivity and collaboration trends|
    US8055672B2|2004-06-10|2011-11-08|International Business Machines Corporation|Dynamic graphical database query and data mining interface|
    GB2415317B|2004-06-15|2007-08-15|Orange Personal Comm Serv Ltd|Provision of group services in a telecommunications network|
    US7370030B2|2004-06-17|2008-05-06|International Business Machines Corporation|Method to provide management of query output|
    US20050289524A1|2004-06-22|2005-12-29|Mcginnes Simon|Systems and methods for software based on business concepts|
    US8289390B2|2004-07-28|2012-10-16|Sri International|Method and apparatus for total situational awareness and monitoring|
    US7774319B2|2004-08-11|2010-08-10|Sap Ag|System and method for an optimistic database access|
    WO2006018843A2|2004-08-16|2006-02-23|Beinsync Ltd.|A system and method for the synchronization of data across multiple computing devices|
    US7290698B2|2004-08-25|2007-11-06|Sony Corporation|Progress bar with multiple portions|
    US7603229B2|2004-08-25|2009-10-13|Microsoft Corporation|Efficiently finding shortest paths using landmarks for computing lower-bound distance estimates|
    US7617232B2|2004-09-02|2009-11-10|Microsoft Corporation|Centralized terminology and glossary development|
    US7406592B1|2004-09-23|2008-07-29|American Megatrends, Inc.|Method, system, and apparatus for efficient evaluation of boolean expressions|
    US7933862B2|2004-09-27|2011-04-26|Microsoft Corporation|One click conditional formatting method and system for software programs|
    US7788589B2|2004-09-30|2010-08-31|Microsoft Corporation|Method and system for improved electronic task flagging and management|
    US7512738B2|2004-09-30|2009-03-31|Intel Corporation|Allocating call stack frame entries at different memory levels to functions in a program|
    US7712049B2|2004-09-30|2010-05-04|Microsoft Corporation|Two-dimensional radial user interface for computer software applications|
    US20060074881A1|2004-10-02|2006-04-06|Adventnet, Inc.|Structure independent searching in disparate databases|
    US7366723B2|2004-10-05|2008-04-29|Sap Ag|Visual query modeling for configurable patterns|
    US7284198B2|2004-10-07|2007-10-16|International Business Machines Corporation|Method and system for document draft reminder based on inactivity|
    US20060080316A1|2004-10-08|2006-04-13|Meridio Ltd|Multiple indexing of an electronic document to selectively permit access to the content and metadata thereof|
    US8892571B2|2004-10-12|2014-11-18|International Business Machines Corporation|Systems for associating records in healthcare database with individuals|
    GB0422750D0|2004-10-13|2004-11-17|Ciphergrid Ltd|Remote database technique|
    US20060080616A1|2004-10-13|2006-04-13|Xerox Corporation|Systems, methods and user interfaces for document workflow construction|
    CA2484694A1|2004-10-14|2006-04-14|Alcatel|Database ram cache|
    US7574409B2|2004-11-04|2009-08-11|Vericept Corporation|Method, apparatus, and system for clustering and classification|
    US20060129992A1|2004-11-10|2006-06-15|Oberholtzer Brian K|Software test and performance monitoring system|
    US7797197B2|2004-11-12|2010-09-14|Amazon Technologies, Inc.|Method and system for analyzing the performance of affiliate sites|
    US7529734B2|2004-11-12|2009-05-05|Oracle International Corporation|Method and apparatus for facilitating a database query using a query criteria template|
    US7620628B2|2004-12-06|2009-11-17|Yahoo! Inc.|Search processing with automatic categorization of queries|
    US20060129746A1|2004-12-14|2006-06-15|Ithink, Inc.|Method and graphic interface for storing, moving, sending or printing electronic data to two or more locations, in two or more formats with a single save function|
    US8996486B2|2004-12-15|2015-03-31|Applied Invention, Llc|Data store with lock-free stateless paging capability|
    US7849395B2|2004-12-15|2010-12-07|Microsoft Corporation|Filter and sort by color|
    US7451397B2|2004-12-15|2008-11-11|Microsoft Corporation|System and method for automatically completing spreadsheet formulas|
    US7606802B2|2004-12-22|2009-10-20|Sap Ag|Preserving log files in a distributed computing environment|
    US8700414B2|2004-12-29|2014-04-15|Sap Ag|System supported optimization of event resolution|
    US7539815B2|2004-12-29|2009-05-26|International Business Machines Corporation|Method, system and circuit for managing task queues in a disk device controller|
    US7660823B2|2004-12-30|2010-02-09|Sas Institute Inc.|Computer-implemented system and method for visualizing OLAP and multidimensional data in a calendar format|
    US7783679B2|2005-01-12|2010-08-24|Computer Associates Think, Inc.|Efficient processing of time series data|
    US7418461B2|2005-01-14|2008-08-26|Microsoft Corporation|Schema conformance for database servers|
    US7363297B2|2005-01-20|2008-04-22|International Business Machines Corporation|Utilization of logical fields with conditional constraints in abstract queries|
    US8200700B2|2005-02-01|2012-06-12|Newsilike Media Group, Inc|Systems and methods for use of structured and unstructured distributed data|
    US9436945B2|2005-02-01|2016-09-06|Redfin Corporation|Interactive map-based search and advertising|
    US8271436B2|2005-02-07|2012-09-18|Mimosa Systems, Inc.|Retro-fitting synthetic full copies of data|
    US7614006B2|2005-02-11|2009-11-03|International Business Machines Corporation|Methods and apparatus for implementing inline controls for transposing rows and columns of computer-based tables|
    US20060242630A1|2005-03-09|2006-10-26|Maxis Co., Ltd.|Process for preparing design procedure document and apparatus for the same|
    US7483028B2|2005-03-15|2009-01-27|Microsoft Corporation|Providing 1D and 2D connectors in a connected diagram|
    WO2006102270A2|2005-03-22|2006-09-28|Cooper Kim A|Performance motivation systems and methods for contact centers|
    US7725728B2|2005-03-23|2010-05-25|Business Objects Data Integration, Inc.|Apparatus and method for dynamically auditing data migration to produce metadata|
    US7676845B2|2005-03-24|2010-03-09|Microsoft Corporation|System and method of selectively scanning a file on a computing device for malware|
    US20060218491A1|2005-03-25|2006-09-28|International Business Machines Corporation|System, method and program product for community review of documents|
    US7596528B1|2005-03-31|2009-09-29|Trading Technologies International, Inc.|System and method for dynamically regulating order entry in an electronic trading environment|
    US7525422B2|2005-04-14|2009-04-28|Verizon Business Global Llc|Method and system for providing alarm reporting in a managed network services environment|
    US7426654B2|2005-04-14|2008-09-16|Verizon Business Global Llc|Method and system for providing customer controlled notifications in a managed network services system|
    US20060242040A1|2005-04-20|2006-10-26|Aim Holdings Llc|Method and system for conducting sentiment analysis for securities research|
    US20060241856A1|2005-04-25|2006-10-26|The Boeing Company|Geo-infosphere as applied to dynamic routing system|
    US8082172B2|2005-04-26|2011-12-20|The Advisory Board Company|System and method for peer-profiling individual performance|
    US8739278B2|2006-04-28|2014-05-27|Oracle International Corporation|Techniques for fraud monitoring and detection using application fingerprinting|
    US8145686B2|2005-05-06|2012-03-27|Microsoft Corporation|Maintenance of link level consistency between database and file system|
    US7958120B2|2005-05-10|2011-06-07|Netseer, Inc.|Method and apparatus for distributed community finding|
    US7672968B2|2005-05-12|2010-03-02|Apple Inc.|Displaying a tooltip associated with a concurrently displayed database object|
    US8024778B2|2005-05-24|2011-09-20|CRIF Corporation|System and method for defining attributes, decision rules, or both, for remote execution, claim set I|
    US8020110B2|2005-05-26|2011-09-13|Weisermazars Llp|Methods for defining queries, generating query results and displaying same|
    US8825370B2|2005-05-27|2014-09-02|Yahoo! Inc.|Interactive map-based travel guide|
    US7962842B2|2005-05-30|2011-06-14|International Business Machines Corporation|Method and systems for accessing data by spelling discrimination letters of link names|
    US8578500B2|2005-05-31|2013-11-05|Kurt James Long|System and method of fraud and misuse detection|
    US7571192B2|2005-06-15|2009-08-04|Oracle International Corporation|Methods and apparatus for maintaining consistency during analysis of large data sets|
    US20070005582A1|2005-06-17|2007-01-04|Honeywell International Inc.|Building of database queries from graphical operations|
    US8266327B2|2005-06-21|2012-09-11|Cisco Technology, Inc.|Identity brokering in a network element|
    US8042110B1|2005-06-24|2011-10-18|Oracle America, Inc.|Dynamic grouping of application components|
    WO2006137530A1|2005-06-24|2006-12-28|Justsystems Corporation|Document processing apparatus|
    US8200676B2|2005-06-28|2012-06-12|Nokia Corporation|User interface for geographic search|
    CN2807899Y|2005-07-13|2006-08-23|童中华|Toothbrush capable of preventing oral collision|
    US20070016363A1|2005-07-15|2007-01-18|Oracle International Corporation|Interactive map-based user interface for transportation planning|
    JP3989527B2|2005-08-04|2007-10-10|松下電器産業株式会社|Search article estimation apparatus and method, and search article estimation apparatus server|
    US7421429B2|2005-08-04|2008-09-02|Microsoft Corporation|Generate blog context ranking using track-back weight, context weight and, cumulative comment weight|
    CN1913441A|2005-08-09|2007-02-14|张永敏|Continuous changed data set transmission and updating method|
    CA2620870C|2005-08-23|2016-04-26|R.A. Smith & Associates, Inc.|High accuracy survey-grade gis system|
    US20070050429A1|2005-08-26|2007-03-01|Centric Software, Inc.|Time-range locking for temporal database and branched-and-temporal databases|
    US7917841B2|2005-08-29|2011-03-29|Edgar Online, Inc.|System and method for rendering data|
    US7383247B2|2005-08-29|2008-06-03|International Business Machines Corporation|Query routing of federated information systems for fast response time, load balance, availability, and reliability|
    US7877678B2|2005-08-29|2011-01-25|Edgar Online, Inc.|System and method for rendering of financial data|
    US8095866B2|2005-09-09|2012-01-10|Microsoft Corporation|Filtering user interface for a data summary table|
    JP2007079641A|2005-09-09|2007-03-29|Canon Inc|Information processor and processing method, program, and storage medium|
    CN101263540B|2005-09-12|2010-08-04|松下电器产业株式会社|Map displaying device|
    US8646080B2|2005-09-16|2014-02-04|Avg Technologies Cy Limited|Method and apparatus for removing harmful software|
    US20070072591A1|2005-09-23|2007-03-29|Mcgary Faith|Enhanced directory assistance system and method including location search functions|
    US20070094248A1|2005-09-26|2007-04-26|Bea Systems, Inc.|System and method for managing content by workflows|
    US7716226B2|2005-09-27|2010-05-11|Patentratings, Llc|Method and system for probabilistically quantifying and visualizing relevance between two or more citationally or contextually related data objects|
    US20070078832A1|2005-09-30|2007-04-05|Yahoo! Inc.|Method and system for using smart tags and a recommendation engine using smart tags|
    US7870493B2|2005-10-03|2011-01-11|Microsoft Corporation|Distributed clipboard|
    US8032885B2|2005-10-11|2011-10-04|Oracle International Corporation|Method and medium for combining operation commands into database submission groups|
    US7574428B2|2005-10-11|2009-08-11|Telmap Ltd|Geometry-based search engine for navigation systems|
    US7933897B2|2005-10-12|2011-04-26|Google Inc.|Entity display priority in a distributed geographic information system|
    US7487139B2|2005-10-12|2009-02-03|International Business Machines Corporation|Method and system for filtering a table|
    US8666780B2|2005-10-18|2014-03-04|Walgreen Co.|System for separating and distributing pharmacy order processing|
    US20070094389A1|2005-10-23|2007-04-26|Bill Nussey|Provision of rss feeds based on classification of content|
    US7627812B2|2005-10-27|2009-12-01|Microsoft Corporation|Variable formatting of cells|
    KR100713503B1|2005-11-09|2007-04-30|삼성전자주식회사|Method for running application and mobile terminal thereof|
    US20100198858A1|2005-11-21|2010-08-05|Anti-Gang Enforcement Networking Technology, Inc.|System and Methods for Linking Multiple Events Involving Firearms and Gang Related Activities|
    US20070118547A1|2005-11-22|2007-05-24|Monish Gupta|Efficient index versioning in multi-version databases|
    US20070178501A1|2005-12-06|2007-08-02|Matthew Rabinowitz|System and method for integrating and validating genotypic, phenotypic and medical information into a database according to a standardized ontology|
    US8185819B2|2005-12-12|2012-05-22|Google Inc.|Module specification for a module to be incorporated into a container document|
    US7725530B2|2005-12-12|2010-05-25|Google Inc.|Proxy server collection of data for module incorporation into a container document|
    US7730109B2|2005-12-12|2010-06-01|Google, Inc.|Message catalogs for remote modules|
    US7730082B2|2005-12-12|2010-06-01|Google Inc.|Remote module incorporation into a container document|
    US9141913B2|2005-12-16|2015-09-22|Nextbio|Categorization and filtering of scientific data|
    US7792809B2|2005-12-19|2010-09-07|Tera data US, Inc.|Database system|
    US7606844B2|2005-12-19|2009-10-20|Commvault Systems, Inc.|System and method for performing replication copy storage operations|
    US7676474B2|2005-12-22|2010-03-09|Sap Ag|Systems and methods for finding log files generated by a distributed computer|
    US7870512B2|2005-12-28|2011-01-11|Sap Ag|User interface prototype using UI taxonomy|
    US20070150369A1|2005-12-28|2007-06-28|Zivin Michael A|Method and system for determining the optimal travel route by which customers can purchase local goods at the lowest total cost|
    US7801912B2|2005-12-29|2010-09-21|Amazon Technologies, Inc.|Method and apparatus for a searchable data service|
    US8392400B1|2005-12-29|2013-03-05|Amazon Technologies, Inc.|Method and apparatus for stress management in a searchable data service|
    US7831917B1|2005-12-30|2010-11-09|Google Inc.|Method, system, and graphical user interface for identifying and communicating with meeting spots|
    CN100481077C|2006-01-12|2009-04-22|国际商业机器公司|Visual method and device for strengthening search result guide|
    US7634717B2|2006-01-23|2009-12-15|Microsoft Corporation|Multiple conditional formatting|
    US20070192281A1|2006-02-02|2007-08-16|International Business Machines Corporation|Methods and apparatus for displaying real-time search trends in graphical search specification and result interfaces|
    US20070184855A1|2006-02-03|2007-08-09|Research In Motion Limited|Visual representation of contact location|
    US7818291B2|2006-02-03|2010-10-19|The General Electric Company|Data object access system and method using dedicated task object|
    US7770100B2|2006-02-27|2010-08-03|Microsoft Corporation|Dynamic thresholds for conditional formats|
    US7579965B2|2006-03-03|2009-08-25|Andrew Bucholz|Vehicle data collection and processing system|
    US7899611B2|2006-03-03|2011-03-01|Inrix, Inc.|Detecting anomalous road traffic conditions|
    US8698809B2|2006-03-03|2014-04-15|Donya Labs Ab|Creation and rendering of hierarchical digital multimedia data|
    US20070208498A1|2006-03-03|2007-09-06|Inrix, Inc.|Displaying road traffic condition information and user controls|
    US20080052142A1|2006-03-13|2008-02-28|Bailey Maurice G T|System and method for real-time display of emergencies, resources and personnel|
    US7640242B2|2006-03-24|2009-12-29|Oracle International Corp.|Light weight locking model in the database for supporting long duration transactions|
    US7512578B2|2006-03-30|2009-03-31|Emc Corporation|Smart containers|
    AT409307T|2006-03-31|2008-10-15|Research In Motion Ltd|USER INTERFACE PROCESS AND DEVICE FOR CONTROLLING THE VISUAL DISPLAY OF CARDS WITH SELECTABLE CARD ELEMENTS IN MOBILE COMMUNICATION DEVICES|
    US20070240062A1|2006-04-07|2007-10-11|Christena Jennifer Y|Method and System for Restricting User Operations in a Graphical User Inerface Window|
    US7752123B2|2006-04-28|2010-07-06|Townsend Analytics Ltd.|Order management system and method for electronic securities trading|
    US7853573B2|2006-05-03|2010-12-14|Oracle International Corporation|Efficient replication of XML data in a relational database management system|
    US20070260582A1|2006-05-05|2007-11-08|Inetsoft Technology|Method and System for Visual Query Construction and Representation|
    US11122009B2|2009-12-01|2021-09-14|Apple Inc.|Systems and methods for identifying geographic locations of social media content collected over social networks|
    US7468662B2|2006-06-16|2008-12-23|International Business Machines Corporation|Method for spatio-temporal event detection using composite definitions for camera systems|
    US7552121B2|2006-06-22|2009-06-23|International Business Machines Corporation|Autonomic lock escalation in an SQL environment|
    KR101396661B1|2006-07-09|2014-05-16|마이크로소프트 아말가매티드 컴퍼니 Iii|Systems and methods for managing networks|
    US20120173381A1|2011-01-03|2012-07-05|Stanley Benjamin Smith|Process and system for pricing and processing weighted data in a federated or subscription based data source|
    US8290943B2|2006-07-14|2012-10-16|Raytheon Company|Geographical information display system and method|
    EP2050016A4|2006-08-10|2009-10-21|Univ Loma Linda Med|Advanced emergency geographical information system|
    US20130150004A1|2006-08-11|2013-06-13|Michael Rosen|Method and apparatus for reducing mobile phone usage while driving|
    US20080040684A1|2006-08-14|2008-02-14|Richard Crump|Intelligent Pop-Up Window Method and Apparatus|
    US20080077597A1|2006-08-24|2008-03-27|Lance Butler|Systems and methods for photograph mapping|
    US20080051989A1|2006-08-25|2008-02-28|Microsoft Corporation|Filtering of data layered on mapping applications|
    JP4778865B2|2006-08-30|2011-09-21|株式会社ソニー・コンピュータエンタテインメント|Image viewer, image display method and program|
    US7725547B2|2006-09-06|2010-05-25|International Business Machines Corporation|Informing a user of gestures made by others out of the user's line of sight|
    US8271429B2|2006-09-11|2012-09-18|Wiredset Llc|System and method for collecting and processing data|
    US7657626B1|2006-09-19|2010-02-02|Enquisite, Inc.|Click fraud detection|
    US20080082486A1|2006-09-29|2008-04-03|Yahoo! Inc.|Platform for user discovery experience|
    EP2074505A4|2006-10-05|2010-01-13|Splunk Inc|Time series search engine|
    US7761407B1|2006-10-10|2010-07-20|Medallia, Inc.|Use of primary and secondary indexes to facilitate aggregation of records of an OLAP data cube|
    US7840525B2|2006-10-11|2010-11-23|Ruby Jonathan P|Extended transactions|
    US7698336B2|2006-10-26|2010-04-13|Microsoft Corporation|Associating geographic-related information with objects|
    US7912875B2|2006-10-31|2011-03-22|Business Objects Software Ltd.|Apparatus and method for filtering data using nested panels|
    US8229902B2|2006-11-01|2012-07-24|Ab Initio Technology Llc|Managing storage of individually accessible data units|
    US8117281B2|2006-11-02|2012-02-14|Addnclick, Inc.|Using internet content as a means to establish live social networks by linking internet users to each other who are simultaneously engaged in the same and/or similar content|
    US7792868B2|2006-11-10|2010-09-07|Microsoft Corporation|Data object linking and browsing tool|
    US7962495B2|2006-11-20|2011-06-14|Palantir Technologies, Inc.|Creating data in a data store using a dynamic ontology|
    US7853614B2|2006-11-27|2010-12-14|Rapleaf, Inc.|Hierarchical, traceable, and association reputation assessment of email domains|
    JP4923990B2|2006-12-04|2012-04-25|株式会社日立製作所|Failover method and its computer system.|
    US8126848B2|2006-12-07|2012-02-28|Robert Edward Wagner|Automated method for identifying and repairing logical data discrepancies between database replicas in a database cluster|
    US7680939B2|2006-12-20|2010-03-16|Yahoo! Inc.|Graphical user interface to manipulate syndication data feeds|
    US7809703B2|2006-12-22|2010-10-05|International Business Machines Corporation|Usage of development context in search operations|
    US8799871B2|2007-01-08|2014-08-05|The Mathworks, Inc.|Computation of elementwise expression in parallel|
    US8171418B2|2007-01-31|2012-05-01|Salesforce.Com, Inc.|Method and system for presenting a visual representation of the portion of the sets of data that a query is expected to return|
    US8045455B1|2007-02-02|2011-10-25|Resource Consortium Limited|Location based services in a situational network|
    US8368695B2|2007-02-08|2013-02-05|Microsoft Corporation|Transforming offline maps into interactive online maps|
    CN101246486B|2007-02-13|2012-02-01|国际商业机器公司|Method and apparatus for improved process of expressions|
    US8930331B2|2007-02-21|2015-01-06|Palantir Technologies|Providing unique views of data based on changes or rules|
    US7920963B2|2007-02-22|2011-04-05|Iac Search & Media, Inc.|Map interface with a movable marker|
    US7873557B2|2007-02-28|2011-01-18|Aaron Guidotti|Information, document, and compliance management for financial professionals, clients, and supervisors|
    US7689624B2|2007-03-01|2010-03-30|Microsoft Corporation|Graph-based search leveraging sentiment analysis of user comments|
    US8352881B2|2007-03-08|2013-01-08|International Business Machines Corporation|Method, apparatus and program storage device for providing customizable, immediate and radiating menus for accessing applications and actions|
    US8204856B2|2007-03-15|2012-06-19|Google Inc.|Database replication|
    US7814084B2|2007-03-21|2010-10-12|Schmap Inc.|Contact information capture and link redirection|
    JP5268274B2|2007-03-30|2013-08-21|キヤノン株式会社|Search device, method, and program|
    US8229458B2|2007-04-08|2012-07-24|Enhanced Geographic Llc|Systems and methods to determine the name of a location visited by a user of a wireless device|
    US20080255973A1|2007-04-10|2008-10-16|Robert El Wade|Sales transaction analysis tool and associated method of use|
    US20090164387A1|2007-04-17|2009-06-25|Semandex Networks Inc.|Systems and methods for providing semantically enhanced financial information|
    JP5624881B2|2007-04-17|2014-11-12|イー・エム・デイー・ミリポア・コーポレイシヨン|Graphic user interface for analyzing and comparing position-specific multi-parameter data sets|
    US8312546B2|2007-04-23|2012-11-13|Mcafee, Inc.|Systems, apparatus, and methods for detecting malware|
    US20080267107A1|2007-04-27|2008-10-30|Outland Research, Llc|Attraction wait-time inquiry apparatus, system and method|
    DE102008010419A1|2007-05-03|2008-11-13|Navigon Ag|Apparatus and method for creating a text object|
    US8090603B2|2007-05-11|2012-01-03|Fansnap, Inc.|System and method for selecting event tickets|
    WO2009038822A2|2007-05-25|2009-03-26|The Research Foundation Of State University Of New York|Spectral clustering for multi-type relational data|
    US8515207B2|2007-05-25|2013-08-20|Google Inc.|Annotations in panoramic images, and applications thereof|
    US8739123B2|2007-05-28|2014-05-27|Google Inc.|Incorporating gadget functionality on webpages|
    US7809785B2|2007-05-28|2010-10-05|Google Inc.|System using router in a web browser for inter-domain communication|
    US8229945B2|2008-03-20|2012-07-24|Schooner Information Technology, Inc.|Scalable database management software on a cluster of nodes using a shared-distributed flash memory|
    US20080301559A1|2007-05-31|2008-12-04|Microsoft Corporation|User Interface That Uses a Task Respository|
    US7644238B2|2007-06-01|2010-01-05|Microsoft Corporation|Timestamp based transactional memory|
    US7644213B2|2007-06-05|2010-01-05|Verigy Pte. Ltd.|Resource access manager for controlling access to a limited-access resource|
    EP2012261A1|2007-06-13|2009-01-07|Sap Ag|Processing and exchanging data of collaborative tasks|
    US20090006150A1|2007-06-29|2009-01-01|Sap Ag|Coherent multi-dimensional business process model|
    US8386996B2|2007-06-29|2013-02-26|Sap Ag|Process extension wizard for coherent multi-dimensional business process models|
    US20090027418A1|2007-07-24|2009-01-29|Maru Nimit H|Map-based interfaces for storing and locating information about geographical areas|
    US8234298B2|2007-07-25|2012-07-31|International Business Machines Corporation|System and method for determining driving factor in a data cube|
    US9489216B2|2007-07-26|2016-11-08|Sap Se|Active tiled user interface|
    US8195702B2|2007-07-30|2012-06-05|Oracle International Corporation|Online index builds and rebuilds without blocking locks|
    US7644106B2|2007-07-30|2010-01-05|Oracle International Corporation|Avoiding lock contention by using a wait for completion mechanism|
    US8549520B2|2007-07-31|2013-10-01|Sap Ag|Distributed task handling|
    US20090049018A1|2007-08-14|2009-02-19|John Nicholas Gross|Temporal Document Sorter and Method Using Semantic Decoding and Prediction|
    US20090055251A1|2007-08-20|2009-02-26|Weblistic, Inc., A California Corporation|Directed online advertising system and method|
    US7761525B2|2007-08-23|2010-07-20|International Business Machines Corporation|System and method for providing improved time references in documents|
    US8631015B2|2007-09-06|2014-01-14|Linkedin Corporation|Detecting associates|
    US20090083275A1|2007-09-24|2009-03-26|Nokia Corporation|Method, Apparatus and Computer Program Product for Performing a Visual Search Using Grid-Based Feature Organization|
    US20090088964A1|2007-09-28|2009-04-02|Dave Schaaf|Map scrolling method and apparatus for navigation system for selectively displaying icons|
    US8554719B2|2007-10-18|2013-10-08|Palantir Technologies, Inc.|Resolving database entity information|
    US20090106308A1|2007-10-18|2009-04-23|Christopher Killian|Complexity estimation of data objects|
    US20090125369A1|2007-10-26|2009-05-14|Crowe Horwath Llp|System and method for analyzing and dispositioning money laundering suspicious activity alerts|
    US8510743B2|2007-10-31|2013-08-13|Google Inc.|Terminating computer applications|
    US8200618B2|2007-11-02|2012-06-12|International Business Machines Corporation|System and method for analyzing data in a report|
    US20090126020A1|2007-11-09|2009-05-14|Norton Richard Elliott|Engine for rule based content filtering|
    EP2220457B1|2007-11-09|2016-06-22|TeleCommunication Systems, Inc.|Points-of-interest panning on a displayed map with a persistent search on a wireless phone|
    US8626618B2|2007-11-14|2014-01-07|Panjiva, Inc.|Using non-public shipper records to facilitate rating an entity based on public records of supply transactions|
    US20090132953A1|2007-11-16|2009-05-21|Iac Search & Media, Inc.|User interface and method in local search system with vertical search results and an interactive map|
    KR20090050577A|2007-11-16|2009-05-20|삼성전자주식회사|User interface for displaying and playing multimedia contents and apparatus comprising the same and control method thereof|
    US8145703B2|2007-11-16|2012-03-27|Iac Search & Media, Inc.|User interface and method in a local search system with related search results|
    US20090132685A1|2007-11-21|2009-05-21|Motive, Incorporated|System and method for provisioning and unprovisioning multiple end points with respect to a subscriber and service management system employing the same|
    WO2009073637A2|2007-11-29|2009-06-11|Iqzone|Systems and methods for personal information management and contact picture synchronization and distribution|
    US20090144262A1|2007-12-04|2009-06-04|Microsoft Corporation|Search query transformation using direct manipulation|
    US8417715B1|2007-12-19|2013-04-09|Tilmann Bruckhaus|Platform independent plug-in methods and systems for data mining and analytics|
    US20090161147A1|2007-12-20|2009-06-25|Sharp Laboratories Of America, Inc.|Personal document container|
    US8001482B2|2007-12-21|2011-08-16|International Business Machines Corporation|Method of displaying tab titles|
    US8230333B2|2007-12-26|2012-07-24|Vistracks, Inc.|Analysis of time-based geospatial mashups using AD HOC visual queries|
    US20090172669A1|2007-12-28|2009-07-02|International Business Machines Corporation|Use of redundancy groups in runtime computer management of business applications|
    US7865308B2|2007-12-28|2011-01-04|Yahoo! Inc.|User-generated activity maps|
    US20090172674A1|2007-12-28|2009-07-02|International Business Machines Corporation|Managing the computer collection of information in an information technology environment|
    US8010886B2|2008-01-04|2011-08-30|Microsoft Corporation|Intelligently representing files in a view|
    US8239245B2|2008-01-22|2012-08-07|International Business Machines Corporation|Method and apparatus for end-to-end retail store site optimization|
    US7877367B2|2008-01-22|2011-01-25|International Business Machines Corporation|Computer method and apparatus for graphical inquiry specification with progressive summary|
    US20090193012A1|2008-01-29|2009-07-30|James Charles Williams|Inheritance in a Search Index|
    CN104123240B|2008-01-31|2017-07-28|甲骨文国际公司|system and method for transactional cache|
    US20090199047A1|2008-01-31|2009-08-06|Yahoo! Inc.|Executing software performance test jobs in a clustered system|
    US9418094B2|2008-02-13|2016-08-16|Oracle International Corporation|Method and apparatus for performing multi-stage table updates|
    US7805457B1|2008-02-14|2010-09-28|Securus Technologies, Inc.|System and method for identifying members of a gang or security threat group|
    WO2009115921A2|2008-02-22|2009-09-24|Ipath Technologies Private Limited|Techniques for enterprise resource mobilization|
    US8606807B2|2008-02-28|2013-12-10|Red Hat, Inc.|Integration of triple tags into a tagging tool and text browsing|
    US8924920B2|2008-02-29|2014-12-30|Red Hat, Inc.|Providing a software appliance based on a role|
    US20090222760A1|2008-02-29|2009-09-03|Halverson Steven G|Method, System and Computer Program Product for Automating the Selection and Ordering of Column Data in a Table for a User|
    US20090234720A1|2008-03-15|2009-09-17|Gridbyte|Method and System for Tracking and Coaching Service Professionals|
    US9830366B2|2008-03-22|2017-11-28|Thomson Reuters Global Resources|Online analytic processing cube with time stamping|
    US9274923B2|2008-03-25|2016-03-01|Wind River Systems, Inc.|System and method for stack crawl testing and caching|
    WO2009132106A2|2008-04-22|2009-10-29|Oxford J Craig|System and method for interactive map, database, and social networking engine|
    JP4585579B2|2008-04-24|2010-11-24|株式会社日立製作所|Data management method, data management program, and data management apparatus|
    US20090282068A1|2008-05-12|2009-11-12|Shockro John J|Semantic packager|
    US8620641B2|2008-05-16|2013-12-31|Blackberry Limited|Intelligent elision|
    US8688622B2|2008-06-02|2014-04-01|The Boeing Company|Methods and systems for loading data into a temporal data warehouse|
    US8745191B2|2009-01-28|2014-06-03|Headwater Partners I Llc|System and method for providing user notifications|
    US7962458B2|2008-06-12|2011-06-14|Gravic, Inc.|Method for replicating explicit locks in a data replication engine|
    US8301593B2|2008-06-12|2012-10-30|Gravic, Inc.|Mixed mode synchronous and asynchronous replication system|
    US8452790B1|2008-06-13|2013-05-28|Ustringer LLC|Method and apparatus for distributing content|
    FI127113B|2008-06-17|2017-11-15|Tekla Corp|Information search|
    US8499287B2|2008-06-23|2013-07-30|Microsoft Corporation|Analysis of thread synchronization events|
    US8301904B1|2008-06-24|2012-10-30|Mcafee, Inc.|System, method, and computer program product for automatically identifying potentially unwanted data as unwanted|
    US7908521B2|2008-06-25|2011-03-15|Microsoft Corporation|Process reflection|
    EP2308024A4|2008-07-02|2016-03-30|Pacific Knowledge Systems Pty Ltd|Method and system for generating text|
    US8572070B2|2008-07-02|2013-10-29|LexisNexis Risk Solution FL Inc.|Statistical measure and calibration of internally inconsistent search criteria where one or both of the search criteria and database is incomplete|
    WO2010006334A1|2008-07-11|2010-01-14|Videosurf, Inc.|Apparatus and software system for and method of performing a visual-relevance-rank subsequent search|
    AU2009201514A1|2008-07-11|2010-01-28|Icyte Pty Ltd|Annotation system and method|
    US8301464B1|2008-07-18|2012-10-30|Cave Consulting Group, Inc.|Method and system for producing statistical analysis of medical care information|
    JP2011530138A|2008-08-04|2011-12-15|クイッドインコーポレイテッド|Business performance analysis engine|
    US8548423B2|2008-08-06|2013-10-01|Bindu Rama Rao|Mobile based neighborhood watch system capable of group interactions, anonymous messages and observation reports|
    US8037040B2|2008-08-08|2011-10-11|Oracle International Corporation|Generating continuous query notifications|
    US8640096B2|2008-08-22|2014-01-28|International Business Machines Corporation|Configuration of componentized software applications|
    US8595638B2|2008-08-28|2013-11-26|Nokia Corporation|User interface, device and method for displaying special locations on a map|
    US8010545B2|2008-08-28|2011-08-30|Palo Alto Research Center Incorporated|System and method for providing a topic-directed search|
    JP4612715B2|2008-09-05|2011-01-12|株式会社日立製作所|Information processing system, data update method, and data update program|
    US20110078055A1|2008-09-05|2011-03-31|Claude Faribault|Methods and systems for facilitating selecting and/or purchasing of items|
    US9383911B2|2008-09-15|2016-07-05|Palantir Technologies, Inc.|Modal-less interface enhancements|
    US8041714B2|2008-09-15|2011-10-18|Palantir Technologies, Inc.|Filter chains with associated views for exploring large data sets|
    US20100070845A1|2008-09-17|2010-03-18|International Business Machines Corporation|Shared web 2.0 annotations linked to content segments of web documents|
    KR101495132B1|2008-09-24|2015-02-25|삼성전자주식회사|Mobile terminal and method for displaying data thereof|
    CN101685449B|2008-09-26|2012-07-11|国际商业机器公司|Method and system for connecting tables in a plurality of heterogeneous distributed databases|
    US8214361B1|2008-09-30|2012-07-03|Google Inc.|Organizing search results in a topic hierarchy|
    US20100082655A1|2008-09-30|2010-04-01|Yahoo! Inc.|Parallel execution of range query|
    US8108138B2|2008-10-02|2012-01-31|The Boeing Company|Optimal vehicle router with energy management system|
    US8554579B2|2008-10-13|2013-10-08|Fht, Inc.|Management, reporting and benchmarking of medication preparation|
    US20100114887A1|2008-10-17|2010-05-06|Google Inc.|Textual Disambiguation Using Social Connections|
    US8108933B2|2008-10-21|2012-01-31|Lookout, Inc.|System and method for attack and malware prevention|
    US8411046B2|2008-10-23|2013-04-02|Microsoft Corporation|Column organization of content|
    US9032254B2|2008-10-29|2015-05-12|Aternity Information Systems Ltd.|Real time monitoring of computer for determining speed and energy consumption of various processes|
    US7974943B2|2008-10-30|2011-07-05|Hewlett-Packard Development Company, L.P.|Building a synchronized target database|
    US8306947B2|2008-10-30|2012-11-06|Hewlett-Packard Development Company, L.P.|Replication of operations on objects distributed in a storage system|
    US7949640B2|2008-10-31|2011-05-24|Gravic, Inc.|Referential integrity, consistency, and completeness loading of databases|
    US8103962B2|2008-11-04|2012-01-24|Brigham Young University|Form-based ontology creation and information harvesting|
    US20100131457A1|2008-11-26|2010-05-27|Microsoft Corporation|Flattening multi-dimensional data sets into de-normalized form|
    US10002161B2|2008-12-03|2018-06-19|Sap Se|Multithreading and concurrency control for a rule-based transaction engine|
    US8805861B2|2008-12-09|2014-08-12|Google Inc.|Methods and systems to train models to extract and integrate information from data sources|
    US8204859B2|2008-12-10|2012-06-19|Commvault Systems, Inc.|Systems and methods for managing replicated database data|
    US8320551B2|2008-12-17|2012-11-27|At&T Intellectual Property I, L.P.|Method and system for processing application logs|
    US8312038B2|2008-12-18|2012-11-13|Oracle International Corporation|Criteria builder for query builder|
    KR101207510B1|2008-12-18|2012-12-03|한국전자통신연구원|Cluster Data Management System And Method for Data Restoring Using Shared Read-Only Log in Cluster Data Management System|
    DE202009019149U1|2008-12-22|2017-01-30|Google Inc.|Asynchronous distributed garbage collection for replicated storage clusters|
    US8712453B2|2008-12-23|2014-04-29|Telecommunication Systems, Inc.|Login security with short messaging|
    US8762869B2|2008-12-23|2014-06-24|Intel Corporation|Reduced complexity user interface|
    US20100169376A1|2008-12-29|2010-07-01|Yahoo! Inc.|Visual search engine for personal dating|
    US20100173619A1|2009-01-07|2010-07-08|Lucent Technologies Inc.|Healthy weight reminder service via wireless networks|
    US8832173B2|2009-01-20|2014-09-09|Sap Ag|System and method of multithreaded processing across multiple servers|
    US20100191563A1|2009-01-23|2010-07-29|Doctors' Administrative Solutions, Llc|Physician Practice Optimization Tracking|
    US20110213655A1|2009-01-24|2011-09-01|Kontera Technologies, Inc.|Hybrid contextual advertising and related content analysis and display techniques|
    US8601401B2|2009-01-30|2013-12-03|Navico Holding As|Method, apparatus and computer program product for synchronizing cursor events|
    US9357384B2|2009-02-09|2016-05-31|International Business Machines Corporation|System and method to support identity theft protection as part of a distributed service oriented ecosystem|
    EP2221733A1|2009-02-17|2010-08-25|AMADEUS sas|Method allowing validation in a production database of new entered data prior to their release|
    US8886689B2|2009-02-17|2014-11-11|Trane U.S. Inc.|Efficient storage of data allowing for multiple level granularity retrieval|
    US8073857B2|2009-02-17|2011-12-06|International Business Machines Corporation|Semantics-based data transformation over a wire in mashups|
    US9177264B2|2009-03-06|2015-11-03|Chiaramail, Corp.|Managing message categories in a network|
    US8078825B2|2009-03-11|2011-12-13|Oracle America, Inc.|Composite hash and list partitioning of database tables|
    US8285860B2|2009-03-16|2012-10-09|Apple Inc.|Efficient service discovery for peer-to-peer networking devices|
    US8447722B1|2009-03-25|2013-05-21|Mcafee, Inc.|System and method for data mining and security policy management|
    US8578218B2|2009-04-04|2013-11-05|Oracle International Corporation|Method and system for implementing a scalable, high-performance, fault-tolerant locking mechanism in a multi-process environment|
    IL197961D0|2009-04-05|2009-12-24|Guy Shaked|Methods for effective processing of time series|
    US8327351B2|2009-04-30|2012-12-04|Sap Ag|Application modification framework|
    US9767427B2|2009-04-30|2017-09-19|Hewlett Packard Enterprise Development Lp|Modeling multi-dimensional sequence data over streams|
    US8719249B2|2009-05-12|2014-05-06|Microsoft Corporation|Query classification|
    US8856691B2|2009-05-29|2014-10-07|Microsoft Corporation|Gesture tool|
    US9268761B2|2009-06-05|2016-02-23|Microsoft Technology Licensing, Llc|In-line dynamic text with variable formatting|
    US8510263B2|2009-06-15|2013-08-13|Verisign, Inc.|Method and system for auditing transaction data from database operations|
    US20100321399A1|2009-06-18|2010-12-23|Patrik Ellren|Maps from Sparse Geospatial Data Tiles|
    KR101076887B1|2009-06-26|2011-10-25|주식회사 하이닉스반도체|Method of fabricating landing plug in semiconductor device|
    US8209699B2|2009-07-10|2012-06-26|Teradata Us, Inc.|System and method for subunit operations in a database|
    US8635223B2|2009-07-28|2014-01-21|Fti Consulting, Inc.|System and method for providing a classification suggestion for electronically stored information|
    US8606804B2|2009-08-05|2013-12-10|Microsoft Corporation|Runtime-defined dynamic queries|
    MX2012001497A|2009-08-14|2012-06-19|Telogis Inc|Real time map rendering with data clustering and expansion and overlay.|
    US8560548B2|2009-08-19|2013-10-15|International Business Machines Corporation|System, method, and apparatus for multidimensional exploration of content items in a content store|
    US20110047540A1|2009-08-24|2011-02-24|Embarcadero Technologies Inc.|System and Methodology for Automating Delivery, Licensing, and Availability of Software Products|
    JP5431235B2|2009-08-28|2014-03-05|株式会社日立製作所|Equipment condition monitoring method and apparatus|
    US8334773B2|2009-08-28|2012-12-18|Deal Magic, Inc.|Asset monitoring and tracking system|
    US20110066933A1|2009-09-02|2011-03-17|Ludwig Lester F|Value-driven visualization primitives for spreadsheets, tabular data, and advanced spreadsheet visualization|
    US9280777B2|2009-09-08|2016-03-08|Target Brands, Inc.|Operations dashboard|
    US20110184813A1|2009-09-14|2011-07-28|Cbs Interactive, Inc.|Targeting offers to users of a web site|
    US20110066497A1|2009-09-14|2011-03-17|Choicestream, Inc.|Personalized advertising and recommendation|
    US8756489B2|2009-09-17|2014-06-17|Adobe Systems Incorporated|Method and system for dynamic assembly of form fragments|
    US20110074811A1|2009-09-25|2011-03-31|Apple Inc.|Map Layout for Print Production|
    US20110078173A1|2009-09-30|2011-03-31|Avaya Inc.|Social Network User Interface|
    EP2483640B1|2009-09-30|2018-05-09|Videojet Technologies, Inc.|Thermal ink jet ink composition|
    US8595058B2|2009-10-15|2013-11-26|Visa U.S.A.|Systems and methods to match identifiers|
    JP5039891B2|2009-10-19|2012-10-03|インターナショナル・ビジネス・マシーンズ・コーポレーション|Apparatus and method for generating a replica of a database|
    US8554699B2|2009-10-20|2013-10-08|Google Inc.|Method and system for detecting anomalies in time series data|
    US9158816B2|2009-10-21|2015-10-13|Microsoft Technology Licensing, Llc|Event processing with XML query based on reusable XML query template|
    US8312367B2|2009-10-30|2012-11-13|Synopsys, Inc.|Technique for dynamically sizing columns in a table|
    US8417409B2|2009-11-11|2013-04-09|Google Inc.|Transit routing system for public transportation trip planning|
    CN102714524B|2009-11-13|2016-08-03|Zoll医疗公司|Community-based response system and method|
    US20110131547A1|2009-12-01|2011-06-02|International Business Machines Corporation|Method and system defining and interchanging diagrams of graphical modeling languages|
    JP5445085B2|2009-12-04|2014-03-19|ソニー株式会社|Information processing apparatus and program|
    GB2476121A|2009-12-14|2011-06-15|Colin Westlake|Linking interactions using a reference for an internet user's web session|
    US20110153384A1|2009-12-17|2011-06-23|Matthew Donald Horne|Visual comps builder|
    US9054996B2|2009-12-24|2015-06-09|Juniper Networks, Inc.|Dynamic prioritized fair share scheduling scheme in over-subscribed port scenario|
    US8676597B2|2009-12-28|2014-03-18|General Electric Company|Methods and systems for mapping healthcare services analytics for volume and trends|
    US20110161132A1|2009-12-29|2011-06-30|Sukriti Goel|Method and system for extracting process sequences|
    US8564596B2|2010-01-12|2013-10-22|Palantir Technologies, Inc.|Techniques for density mapping|
    US8271461B2|2010-01-18|2012-09-18|Battelle Memorial Institute|Storing and managing information artifacts collected by information analysts using a computing device|
    US8290926B2|2010-01-21|2012-10-16|Microsoft Corporation|Scalable topical aggregation of data feeds|
    US8683363B2|2010-01-26|2014-03-25|Apple Inc.|Device, method, and graphical user interface for managing user interface content and user interface elements|
    US8291472B2|2010-01-28|2012-10-16|International Business Machines Corporation|Real-time adjustments to authentication conditions|
    US20110208822A1|2010-02-22|2011-08-25|Yogesh Chunilal Rathod|Method and system for customized, contextual, dynamic and unified communication, zero click advertisement and prospective customers search engine|
    US20110218934A1|2010-03-03|2011-09-08|Jeremy Elser|System and methods for comparing real properties for purchase and for generating heat maps to aid in identifying price anomalies of such real properties|
    US8863279B2|2010-03-08|2014-10-14|Raytheon Company|System and method for malware detection|
    US20110231296A1|2010-03-16|2011-09-22|UberMedia, Inc.|Systems and methods for interacting with messages, authors, and followers|
    US8577911B1|2010-03-23|2013-11-05|Google Inc.|Presenting search term refinements|
    US20110238553A1|2010-03-26|2011-09-29|Ashwin Raj|Electronic account-to-account funds transfer|
    US8447326B2|2010-04-07|2013-05-21|Apple Inc.|Selective location determination|
    US8739118B2|2010-04-08|2014-05-27|Microsoft Corporation|Pragmatic mapping specification, compilation and validation|
    US20110251951A1|2010-04-13|2011-10-13|Dan Kolkowitz|Anti-fraud event correlation|
    US8572023B2|2010-04-14|2013-10-29|Bank Of America Corporation|Data services framework workflow processing|
    US8688069B1|2010-04-16|2014-04-01|Cellco Partnership|Mobile radio with independent, user-operated messaging channel carrying location information|
    US10198463B2|2010-04-16|2019-02-05|Salesforce.Com, Inc.|Methods and systems for appending data to large data volumes in a multi-tenant store|
    US20110258216A1|2010-04-20|2011-10-20|International Business Machines Corporation|Usability enhancements for bookmarks of browsers|
    US8489331B2|2010-04-29|2013-07-16|Microsoft Corporation|Destination maps user interface|
    US8626770B2|2010-05-03|2014-01-07|International Business Machines Corporation|Iceberg query evaluation implementing a compressed bitmap index|
    US8595234B2|2010-05-17|2013-11-26|Wal-Mart Stores, Inc.|Processing data feeds|
    US20110289407A1|2010-05-18|2011-11-24|Naik Devang K|Font recommendation engine|
    US20110289397A1|2010-05-19|2011-11-24|Mauricio Eastmond|Displaying Table Data in a Limited Display Area|
    JP5161267B2|2010-05-19|2013-03-13|株式会社日立製作所|Screen customization support system, screen customization support method, and screen customization support program|
    US8723679B2|2010-05-25|2014-05-13|Public Engines, Inc.|Systems and methods for transmitting alert messages relating to events that occur within a pre-defined area|
    US8799867B1|2010-06-08|2014-08-05|Cadence Design Systems, Inc.|Methods, systems, and articles of manufacture for synchronizing softwareverification flows|
    US8756224B2|2010-06-16|2014-06-17|Rallyverse, Inc.|Methods, systems, and media for content ranking using real-time data|
    US20110310005A1|2010-06-17|2011-12-22|Qualcomm Incorporated|Methods and apparatus for contactless gesture recognition|
    US8352908B2|2010-06-28|2013-01-08|International Business Machines Corporation|Multi-modal conversion tool for form-type applications|
    US8364642B1|2010-07-07|2013-01-29|Palantir Technologies, Inc.|Managing disconnected investigations|
    US8284748B2|2010-07-07|2012-10-09|Apple Inc.|Ad hoc formation and tracking of location-sharing groups|
    US8489641B1|2010-07-08|2013-07-16|Google Inc.|Displaying layers of search results on a map|
    US8447819B2|2010-07-09|2013-05-21|Robert Paul Morris|Methods, systems, and computer program products for processing a request for a resource in a communication|
    JP5643309B2|2010-07-09|2014-12-17|パナソニック インテレクチュアル プロパティ コーポレーション オブアメリカＰａｎａｓｏｎｉｃ Ｉｎｔｅｌｌｅｃｔｕａｌ Ｐｒｏｐｅｒｔｙ Ｃｏｒｐｏｒａｔｉｏｎ ｏｆ Ａｍｅｒｉｃａ|Object association apparatus, object association method, program, and recording medium|
    US9037407B2|2010-07-12|2015-05-19|Palantir Technologies Inc.|Method and system for determining position of an inertial computing device in a distributed network|
    CA2707916C|2010-07-14|2015-12-01|Ibm Canada Limited - Ibm Canada Limitee|Intelligent timesheet assistance|
    US8345934B2|2010-07-19|2013-01-01|Telefonica, S.A.|Method for automatic storytelling for photo albums using social network context|
    US20120019559A1|2010-07-20|2012-01-26|Siler Lucas C|Methods and Apparatus for Interactive Display of Images and Measurements|
    US8554653B2|2010-07-22|2013-10-08|Visa International Service Association|Systems and methods to identify payment accounts having business spending activities|
    DE102010036906A1|2010-08-06|2012-02-09|Tavendo Gmbh|Configurable pie menu|
    US20120036013A1|2010-08-09|2012-02-09|Brent Lee Neuhaus|System and method for determining a consumer's location code from payment transaction data|
    US20120050293A1|2010-08-25|2012-03-01|Apple, Inc.|Dynamically smoothing a curve|
    JP5413335B2|2010-09-09|2014-02-12|ソニー株式会社|POSITION ESTIMATION DEVICE, POSITION ESTIMATION METHOD, AND PROGRAM|
    US8661335B2|2010-09-20|2014-02-25|Blackberry Limited|Methods and systems for identifying content elements|
    US20120078595A1|2010-09-24|2012-03-29|Nokia Corporation|Method and apparatus for ontology matching|
    US20120084118A1|2010-09-30|2012-04-05|International Business Machines Corporation|Sales predication for a new store based on on-site market survey data and high resolution geographical information|
    US8463036B1|2010-09-30|2013-06-11|A9.Com, Inc.|Shape-based search of a collection of content|
    EP2444134A1|2010-10-19|2012-04-25|Travian Games GmbH|Methods, server system and browser clients for providing a game map of a browser-based online multi-player game|
    US8719252B2|2010-10-22|2014-05-06|Daniel Paul Miranker|Accessing relational databases as resource description framework databases|
    US8781169B2|2010-11-03|2014-07-15|Endeavoring, Llc|Vehicle tracking and locating system|
    US8316030B2|2010-11-05|2012-11-20|Nextgen Datacom, Inc.|Method and system for document classification or search using discrete words|
    WO2012065186A2|2010-11-12|2012-05-18|Realnetworks, Inc.|Traffic management in adaptive streaming protocols|
    CN102467596B|2010-11-15|2016-09-21|商业对象软件有限公司|Instrument board evaluator|
    JP5706137B2|2010-11-22|2015-04-22|インターナショナル・ビジネス・マシーンズ・コーポレーションＩｎｔｅｒｎａｔｉｏｎａｌ Ｂｕｓｉｎｅｓｓ Ｍａｃｈｉｎｅｓ Ｃｏｒｐｏｒａｔｉｏｎ|Method and computer program for displaying a plurality of posts on a computer screen in real time along a plurality of axes|
    WO2012071571A2|2010-11-26|2012-05-31|Agency For Science, Technology And Research|Method for creating a report from radiological images using electronic report templates|
    US20120137235A1|2010-11-29|2012-05-31|Sabarish T S|Dynamic user interface generation|
    US20120136804A1|2010-11-30|2012-05-31|Raymond J. Lucia, SR.|Wealth Management System and Method|
    US8839133B2|2010-12-02|2014-09-16|Microsoft Corporation|Data visualizations including interactive time line representations|
    US9141405B2|2010-12-15|2015-09-22|International Business Machines Corporation|User interface construction|
    US20120159449A1|2010-12-15|2012-06-21|International Business Machines Corporation|Call Stack Inspection For A Thread Of Execution|
    US20120159399A1|2010-12-17|2012-06-21|International Business Machines Corporation|System for organizing and navigating data within a table|
    US9378294B2|2010-12-17|2016-06-28|Microsoft Technology Licensing, Llc|Presenting source regions of rendered source web pages in target regions of target web pages|
    US9881257B2|2010-12-29|2018-01-30|Tickr, Inc.|Multi-dimensional visualization of temporal information|
    US9747270B2|2011-01-07|2017-08-29|Microsoft Technology Licensing, Llc|Natural input for spreadsheet actions|
    US8447263B2|2011-01-28|2013-05-21|Don Reich|Emergency call analysis system|
    US8437731B2|2011-01-28|2013-05-07|Don Reich|Emergency call analysis system|
    WO2012116287A1|2011-02-24|2012-08-30|Lexisnexis, A Division Of Reed Elsevier Inc.|Methods for electronic document searching and graphically representing electronic document searches|
    US20120246148A1|2011-03-22|2012-09-27|Intergraph Technologies Company|Contextual Display and Scrolling of Search Results in Graphical Environment|
    US9449010B2|2011-04-02|2016-09-20|Open Invention Network, Llc|System and method for managing sensitive data using intelligent mobile agents on a network|
    US20120277914A1|2011-04-29|2012-11-01|Microsoft Corporation|Autonomous and Semi-Autonomous Modes for Robotic Capture of Images and Videos|
    US8966486B2|2011-05-03|2015-02-24|Microsoft Corporation|Distributed multi-phase batch job processing|
    US10185932B2|2011-05-06|2019-01-22|Microsoft Technology Licensing, Llc|Setting permissions for links forwarded in electronic messages|
    JP5516550B2|2011-05-09|2014-06-11|株式会社デンソー|Vehicle navigation device|
    US20120310778A1|2011-06-03|2012-12-06|Uc Group Limited|Systems and methods for clearing and settling transaction activity|
    US20130231862A1|2011-06-03|2013-09-05|Microsoft Corporation|Customizable route planning|
    US8594982B2|2011-06-09|2013-11-26|Pulsar Informatics, Inc.|Systems and methods for distributed calculation of fatigue-risk prediction and optimization|
    US9104765B2|2011-06-17|2015-08-11|Robert Osann, Jr.|Automatic webpage characterization and search results annotation|
    US8799240B2|2011-06-23|2014-08-05|Palantir Technologies, Inc.|System and method for investigating large amounts of data|
    US8725307B2|2011-06-28|2014-05-13|Schneider Electric It Corporation|System and method for measurement aided prediction of temperature and airflow values in a data center|
    US20130006725A1|2011-06-30|2013-01-03|Accenture Global Services Limited|Tolling integration technology|
    EP2710542A4|2011-07-01|2015-04-29|Truecar Inc|Method and system for selection, filtering or presentation of available sales outlets|
    US9384464B2|2011-07-05|2016-07-05|AutoDocs, L.L.C.|Web based template reporting system|
    US9026944B2|2011-07-14|2015-05-05|Microsoft Technology Licensing, Llc|Managing content through actions on context based menus|
    US8726379B1|2011-07-15|2014-05-13|Norse Corporation|Systems and methods for dynamic protection from electronic attacks|
    US8751399B2|2011-07-15|2014-06-10|Wal-Mart Stores, Inc.|Multi-channel data driven, real-time anti-money laundering system for electronic payment cards|
    US20130024268A1|2011-07-22|2013-01-24|Ebay Inc.|Incentivizing the linking of internet content to products for sale|
    US8666919B2|2011-07-29|2014-03-04|Accenture Global Services Limited|Data quality management for profiling, linking, cleansing and migrating data|
    US9280532B2|2011-08-02|2016-03-08|Palantir Technologies, Inc.|System and method for accessing rich objects via spreadsheets|
    US8639757B1|2011-08-12|2014-01-28|Sprint Communications Company L.P.|User localization using friend location information|
    US9996807B2|2011-08-17|2018-06-12|Roundhouse One Llc|Multidimensional digital platform for building integration and analysis|
    EP2560134A1|2011-08-19|2013-02-20|Agor Services BVBA|A platform and method enabling collaboration between value chain partners|
    US20130046635A1|2011-08-19|2013-02-21|Bank Of America Corporation|Triggering offers based on detected location of a mobile point of sale device|
    US20130054551A1|2011-08-24|2013-02-28|Sap Ag|Global product database|
    GB201115083D0|2011-08-31|2011-10-19|Data Connection Ltd|Identifying data items|
    US8504542B2|2011-09-02|2013-08-06|Palantir Technologies, Inc.|Multi-row transactions|
    US8533204B2|2011-09-02|2013-09-10|Xerox Corporation|Text-based searching of image data|
    US10031646B2|2011-09-07|2018-07-24|Mcafee, Llc|Computer system security dashboard|
    US10140620B2|2011-09-15|2018-11-27|Stephan HEATH|Mobile device system and method providing combined delivery system using 3D geo-target location-based mobile commerce searching/purchases, discounts/coupons products, goods, and services, or service providers-geomapping-company/local and socially-conscious information/social networking |
    US20130226318A1|2011-09-22|2013-08-29|Dariusz Procyk|Process transformation and transitioning apparatuses, methods and systems|
    CA2791350C|2011-09-26|2019-10-01|Solacom Technologies Inc.|Answering or releasing emergency calls from a map display for an emergency services platform|
    US8433702B1|2011-09-28|2013-04-30|Palantir Technologies, Inc.|Horizon histogram optimizations|
    US8560494B1|2011-09-30|2013-10-15|Palantir Technologies, Inc.|Visual data importer|
    US20130086482A1|2011-09-30|2013-04-04|Cbs Interactive, Inc.|Displaying plurality of content items in window|
    US10460238B2|2011-10-11|2019-10-29|Leidos Innovations Technology, Inc.|Data quality issue detection through ontological inferencing|
    US20130097482A1|2011-10-13|2013-04-18|Microsoft Corporation|Search result entry truncation using pixel-based approximation|
    US8849776B2|2011-10-17|2014-09-30|Yahoo! Inc.|Method and system for resolving data inconsistency|
    US8626545B2|2011-10-17|2014-01-07|CrowdFlower, Inc.|Predicting future performance of multiple workers on crowdsourcing tasks and selecting repeated crowdsourcing workers|
    US20130101159A1|2011-10-21|2013-04-25|Qualcomm Incorporated|Image and video based pedestrian traffic estimation|
    US9460218B2|2011-10-26|2016-10-04|Google Inc.|Indicating location status|
    US8918424B2|2011-10-31|2014-12-23|Advanced Community Services|Managing homeowner association messages|
    US9411797B2|2011-10-31|2016-08-09|Microsoft Technology Licensing, Llc|Slicer elements for filtering tabular data|
    US9053083B2|2011-11-04|2015-06-09|Microsoft Technology Licensing, Llc|Interaction between web gadgets and spreadsheets|
    US9026364B2|2011-12-12|2015-05-05|Toyota Jidosha Kabushiki Kaisha|Place affinity estimation|
    US20130151388A1|2011-12-12|2013-06-13|Visa International Service Association|Systems and methods to identify affluence levels of accounts|
    US20130157234A1|2011-12-14|2013-06-20|Microsoft Corporation|Storyline visualization|
    US20130166550A1|2011-12-21|2013-06-27|Sap Ag|Integration of Tags and Object Data|
    JP5790482B2|2011-12-26|2015-10-07|富士通株式会社|Base station apparatus, communication system, node apparatus, mobile station apparatus, computer program, and position detection method|
    US9189556B2|2012-01-06|2015-11-17|Google Inc.|System and method for displaying information local to a selected area|
    WO2013102892A1|2012-01-06|2013-07-11|Technologies Of Voice Interface Ltd|A system and method for generating personalized sensor-based activation of software|
    US9116994B2|2012-01-09|2015-08-25|Brightedge Technologies, Inc.|Search engine optimization for category specific search results|
    US8965422B2|2012-02-23|2015-02-24|Blackberry Limited|Tagging instant message content for retrieval using mobile communication devices|
    US20130222406A1|2012-02-24|2013-08-29|McCormick & Company, Incorporated.|System and method for providing flavor advisement and enhancement|
    US20130226944A1|2012-02-24|2013-08-29|Microsoft Corporation|Format independent data transformation|
    WO2013130633A1|2012-02-29|2013-09-06|Google Inc.|Interactive query completion templates|
    US9378526B2|2012-03-02|2016-06-28|Palantir Technologies, Inc.|System and method for accessing data objects via remote references|
    US20130232045A1|2012-03-04|2013-09-05|Oracle International Corporation|Automatic Detection Of Fraud And Error Using A Vector-Cluster Model|
    US8787939B2|2012-03-27|2014-07-22|Facebook, Inc.|Dynamic geographic beacons for geographic-positioning-capable devices|
    US20130263019A1|2012-03-30|2013-10-03|Maria G. Castellanos|Analyzing social media|
    US8738665B2|2012-04-02|2014-05-27|Apple Inc.|Smart progress indicator|
    US8983936B2|2012-04-04|2015-03-17|Microsoft Corporation|Incremental visualization for structured data in an enterprise-level data store|
    US9071653B2|2012-04-05|2015-06-30|Verizon Patent And Licensing Inc.|Reducing cellular network traffic|
    US8792677B2|2012-04-19|2014-07-29|Intelligence Based Integrated Security Systems, Inc.|Large venue security method|
    US9298856B2|2012-04-23|2016-03-29|Sap Se|Interactive data exploration and visualization tool|
    US20130283097A1|2012-04-23|2013-10-24|Yahoo! Inc.|Dynamic network task distribution|
    US9043710B2|2012-04-26|2015-05-26|Sap Se|Switch control in report generation|
    KR101881000B1|2012-04-27|2018-07-24|삼성전자주식회사|Portable terminal with crack prevention structure for display device|
    US8742934B1|2012-04-29|2014-06-03|Intel-Based Solutions, LLC|System and method for facilitating the execution of law enforcement duties and enhancing anti-terrorism and counter-terrorism capabilities|
    US10304036B2|2012-05-07|2019-05-28|Nasdaq, Inc.|Social media profiling for one or more authors using one or more social media platforms|
    EP2662782A1|2012-05-10|2013-11-13|Siemens Aktiengesellschaft|Method and system for storing data in a database|
    US8954985B2|2012-06-05|2015-02-10|International Business Machines Corporation|Dependency management in task scheduling|
    US20140032506A1|2012-06-12|2014-01-30|Quality Attributes Software, Inc.|System and methods for real-time detection, correction, and transformation of time series data|
    US20150172412A1|2012-07-06|2015-06-18|Cornell University|Managing dependencies between operations in a distributed system|
    US8966441B2|2012-07-12|2015-02-24|Oracle International Corporation|Dynamic scripts to extend static applications|
    US9767108B2|2012-07-13|2017-09-19|Hitachi Solutions, Ltd.|Retrieval device, method for controlling retrieval device, and recording medium|
    US8698896B2|2012-08-06|2014-04-15|Cloudparc, Inc.|Controlling vehicle use of parking spaces and parking violations within the parking spaces using multiple cameras|
    US20140047319A1|2012-08-13|2014-02-13|Sap Ag|Context injection and extraction in xml documents based on common sparse templates|
    US8554875B1|2012-08-13|2013-10-08|Ribbon Labs, Inc.|Communicating future locations in a social network|
    WO2014028942A2|2012-08-17|2014-02-20|Trueex Group Llc|Interoffice bank offered rate financial product and implementation|
    US10311062B2|2012-08-21|2019-06-04|Microsoft Technology Licensing, Llc|Filtering structured data using inexact, culture-dependent terms|
    US8676857B1|2012-08-23|2014-03-18|International Business Machines Corporation|Context-based search for a data store related to a graph node|
    JP5904909B2|2012-08-31|2016-04-20|株式会社日立製作所|Supplier search device and supplier search program|
    US20140068487A1|2012-09-05|2014-03-06|Roche Diagnostics Operations, Inc.|Computer Implemented Methods For Visualizing Correlations Between Blood Glucose Data And Events And Apparatuses Thereof|
    US9798768B2|2012-09-10|2017-10-24|Palantir Technologies, Inc.|Search around visual queries|
    US20140074855A1|2012-09-13|2014-03-13|Verance Corporation|Multimedia content tags|
    JP6116168B2|2012-09-14|2017-04-19|キヤノン株式会社|Information processing apparatus and method|
    US20140081685A1|2012-09-17|2014-03-20|Salesforce.com. inc.|Computer implemented methods and apparatus for universal task management|
    US9563663B2|2012-09-28|2017-02-07|Oracle International Corporation|Fast path evaluation of Boolean predicates|
    US20140095273A1|2012-09-28|2014-04-03|Catalina Marketing Corporation|Basket aggregator and locator|
    US20140093174A1|2012-09-28|2014-04-03|Canon Kabushiki Kaisha|Systems and methods for image management|
    US20140095509A1|2012-10-02|2014-04-03|Banjo, Inc.|Method of tagging content lacking geotags with a location|
    DE112013004915T8|2012-10-08|2015-07-23|Fisher-Rosemount Systems, Inc.|Configurable user displays in a process control system|
    CN103731447B|2012-10-11|2019-03-26|腾讯科技（深圳）有限公司|A kind of data query method and system|
    US9104786B2|2012-10-12|2015-08-11|International Business Machines Corporation|Iterative refinement of cohorts using visual exploration and data analytics|
    US20140109176A1|2012-10-15|2014-04-17|Citrix Systems, Inc.|Configuring and providing profiles that manage execution of mobile applications|
    US20140108068A1|2012-10-17|2014-04-17|Jonathan A. Williams|System and Method for Scheduling Tee Time|
    US9471370B2|2012-10-22|2016-10-18|Palantir Technologies, Inc.|System and method for stack-based batch evaluation of program instructions|
    US9348677B2|2012-10-22|2016-05-24|Palantir Technologies Inc.|System and method for batch evaluation programs|
    US9501799B2|2012-11-08|2016-11-22|Hartford Fire Insurance Company|System and method for determination of insurance classification of entities|
    US9146969B2|2012-11-26|2015-09-29|The Boeing Company|System and method of reduction of irrelevant information during search|
    US20140156527A1|2012-11-30|2014-06-05|Bank Of America Corporation|Pre-payment authorization categorization|
    US20140157172A1|2012-11-30|2014-06-05|Drillmap|Geographic layout of petroleum drilling data and methods for processing data|
    US9497289B2|2012-12-07|2016-11-15|Genesys Telecommunications Laboratories, Inc.|System and method for social message classification based on influence|
    US10108668B2|2012-12-14|2018-10-23|Sap Se|Column smart mechanism for column based database|
    US20140176606A1|2012-12-20|2014-06-26|Analytical Graphics Inc.|Recording and visualizing images using augmented image data|
    US9195506B2|2012-12-21|2015-11-24|International Business Machines Corporation|Processor provisioning by a middleware processing system for a plurality of logical processor partitions|
    US9294576B2|2013-01-02|2016-03-22|Microsoft Technology Licensing, Llc|Social media impact assessment|
    US20140195515A1|2013-01-10|2014-07-10|I3 Analytics|Methods and systems for querying and displaying data using interactive three-dimensional representations|
    US8639552B1|2013-01-24|2014-01-28|Broadvision, Inc.|Systems and methods for creating and sharing tasks|
    US9805407B2|2013-01-25|2017-10-31|Illumina, Inc.|Methods and systems for using a cloud computing environment to configure and sell a biological sample preparation cartridge and share related data|
    US9380431B1|2013-01-31|2016-06-28|Palantir Technologies, Inc.|Use of teams in a mobile application|
    US20140222521A1|2013-02-07|2014-08-07|Ibms, Llc|Intelligent management and compliance verification in distributed work flow environments|
    US8744890B1|2013-02-14|2014-06-03|Aktana, Inc.|System and method for managing system-level workflow strategy and individual workflow activity|
    US20140244388A1|2013-02-28|2014-08-28|MetroStar Systems, Inc.|Social Content Synchronization|
    US8763078B1|2013-03-14|2014-06-24|Palantir Technologies, Inc.|System and method for monitoring authentication attempts|
    US9092482B2|2013-03-14|2015-07-28|Palantir Technologies, Inc.|Fair scheduling for mixed-query loads|
    US9501202B2|2013-03-15|2016-11-22|Palantir Technologies, Inc.|Computer graphical user interface with genomic workflow|
    US8788405B1|2013-03-15|2014-07-22|Palantir Technologies, Inc.|Generating data clusters with customizable analysis strategies|
    US8930897B2|2013-03-15|2015-01-06|Palantir Technologies Inc.|Data integration tool|
    US9230280B1|2013-03-15|2016-01-05|Palantir Technologies Inc.|Clustering data based on indications of financial malfeasance|
    US8917274B2|2013-03-15|2014-12-23|Palantir Technologies Inc.|Event matrix based on integrated data|
    US8868486B2|2013-03-15|2014-10-21|Palantir Technologies Inc.|Time-sensitive cube|
    US8903717B2|2013-03-15|2014-12-02|Palantir Technologies Inc.|Method and system for generating a parser and parsing complex data|
    US8937619B2|2013-03-15|2015-01-20|Palantir Technologies Inc.|Generating an object time series from data objects|
    US9898167B2|2013-03-15|2018-02-20|Palantir Technologies Inc.|Systems and methods for providing a tagging interface for external content|
    US9740369B2|2013-03-15|2017-08-22|Palantir Technologies Inc.|Systems and methods for providing a tagging interface for external content|
    US9372929B2|2013-03-20|2016-06-21|Securboration, Inc.|Methods and systems for node and link identification|
    US20140310266A1|2013-04-10|2014-10-16|Google Inc.|Systems and Methods for Suggesting Places for Persons to Meet|
    US9390162B2|2013-04-25|2016-07-12|International Business Machines Corporation|Management of a database system|
    GB2542517B|2013-05-07|2018-01-24|Palantir Technologies Inc|Interactive Geospatial map|
    US8799799B1|2013-05-07|2014-08-05|Palantir Technologies Inc.|Interactive geospatial map|
    US9256657B1|2013-06-13|2016-02-09|Amazon Technologies, Inc.|Tracking data communicated between services|
    CN104243425B|2013-06-19|2018-09-04|深圳市腾讯计算机系统有限公司|A kind of method, apparatus and system carrying out Content Management in content distributing network|
    CN103324724B|2013-06-26|2017-02-08|华为技术有限公司|Method and device for processing data|
    US8620790B2|2013-07-11|2013-12-31|Scvngr|Systems and methods for dynamic transaction-payment routing|
    US20150019394A1|2013-07-11|2015-01-15|Mastercard International Incorporated|Merchant information correction through transaction history or detail|
    US9047480B2|2013-08-01|2015-06-02|Bitglass, Inc.|Secure application access system|
    GB2518745A|2013-08-08|2015-04-01|Palantir Technologies Inc|Template system for custom document generation|
    US9223773B2|2013-08-08|2015-12-29|Palatir Technologies Inc.|Template system for custom document generation|
    US9335897B2|2013-08-08|2016-05-10|Palantir Technologies Inc.|Long click display of a context menu|
    US9565152B2|2013-08-08|2017-02-07|Palantir Technologies Inc.|Cable reader labeling|
    US9477372B2|2013-08-08|2016-10-25|Palantir Technologies Inc.|Cable reader snippets and postboard|
    US8713467B1|2013-08-09|2014-04-29|Palantir Technologies, Inc.|Context-sensitive views|
    EP2843875A1|2013-08-30|2015-03-04|British Telecommunications public limited company|Determination and use of link performance measures|
    US9313233B2|2013-09-13|2016-04-12|Plantir Technologies Inc.|Systems and methods for detecting associated devices|
    US9787760B2|2013-09-24|2017-10-10|Chad Folkening|Platform for building virtual entities using equity systems|
    US8689108B1|2013-09-24|2014-04-01|Palantir Technologies, Inc.|Presentation and analysis of user interaction data|
    US9785317B2|2013-09-24|2017-10-10|Palantir Technologies Inc.|Presentation and analysis of user interaction data|
    US8938686B1|2013-10-03|2015-01-20|Palantir Technologies Inc.|Systems and methods for analyzing performance of an entity|
    US8812960B1|2013-10-07|2014-08-19|Palantir Technologies Inc.|Cohort-based presentation of user interaction data|
    US8924872B1|2013-10-18|2014-12-30|Palantir Technologies Inc.|Overview user interface of emergency call data of a law enforcement agency|
    US9116975B2|2013-10-18|2015-08-25|Palantir Technologies Inc.|Systems and user interfaces for dynamic and interactive simultaneous querying of multiple data stores|
    US9792194B2|2013-10-18|2017-10-17|International Business Machines Corporation|Performance regression manager for large scale systems|
    US8786605B1|2013-10-24|2014-07-22|Palantir Technologies Inc.|Systems and methods for distance and congestion-aware resource deployment|
    US9021384B1|2013-11-04|2015-04-28|Palantir Technologies Inc.|Interactive vehicle information map|
    US8832594B1|2013-11-04|2014-09-09|Palantir Technologies Inc.|Space-optimized display of multi-column tables with selective text truncation based on a combined text width|
    US8868537B1|2013-11-11|2014-10-21|Palantir Technologies, Inc.|Simple web search|
    US9235638B2|2013-11-12|2016-01-12|International Business Machines Corporation|Document retrieval using internal dictionary-hierarchies to adjust per-subject match results|
    US9105000B1|2013-12-10|2015-08-11|Palantir Technologies Inc.|Aggregating data from a plurality of data sources|
    US9734217B2|2013-12-16|2017-08-15|Palantir Technologies Inc.|Methods and systems for analyzing entity performance|
    EP2884441A1|2013-12-16|2015-06-17|Palantir Technologies, Inc.|Methods and systems for analyzing entity performance|
    US20150178825A1|2013-12-23|2015-06-25|Citibank, N.A.|Methods and Apparatus for Quantitative Assessment of Behavior in Financial Entities andTransactions|
    US20150186821A1|2014-01-02|2015-07-02|Palantir Technologies Inc.|Computer-implemented methods and systems for analyzing healthcare data|
    US9043696B1|2014-01-03|2015-05-26|Palantir Technologies Inc.|Systems and methods for visual definition of data associations|
    US9836502B2|2014-01-30|2017-12-05|Splunk Inc.|Panel templates for visualization of data within an interactive dashboard|
    US9483162B2|2014-02-20|2016-11-01|Palantir Technologies Inc.|Relationship visualizations|
    US9009827B1|2014-02-20|2015-04-14|Palantir Technologies Inc.|Security sharing system|
    US9727376B1|2014-03-04|2017-08-08|Palantir Technologies, Inc.|Mobile tasks|
    US8924429B1|2014-03-18|2014-12-30|Palantir Technologies Inc.|Determining and extracting changed data from a data source|
    US9009171B1|2014-05-02|2015-04-14|Palantir Technologies Inc.|Systems and methods for active column filtering|
    KR102147246B1|2014-05-26|2020-08-24|삼성전자 주식회사|Method and apparatus to improve performance in communication network|
    US9021260B1|2014-07-03|2015-04-28|Palantir Technologies Inc.|Malware data item analysis|
    US20160026923A1|2014-07-22|2016-01-28|Palantir Technologies Inc.|System and method for determining a propensity of entity to take a specified action|
    US9454281B2|2014-09-03|2016-09-27|Palantir Technologies Inc.|System for providing dynamic linked panels in user interface|
    US10073902B2|2014-09-24|2018-09-11|Microsoft Technology Licensing, Llc|Snapshot and replication of a multi-stream application on multiple hosts at near-sync frequency|
    US9807154B2|2014-09-26|2017-10-31|Lenovo Enterprise Solutions Pte, Ltd.|Scalable logging control for distributed network devices|
    US9043894B1|2014-11-06|2015-05-26|Palantir Technologies Inc.|Malicious software detection in a computing system|
    US9521194B1|2015-03-16|2016-12-13|Amazon Technologies, Inc.|Nondeterministic value source|
    US9928098B2|2015-09-16|2018-03-27|Red Hat, Inc.|Identifying application usage roles for devices provided to virtual machines|
    US9910697B2|2015-10-13|2018-03-06|Palantir Technologies Inc.|Fault-tolerant and highly-available configuration of distributed services|
    US9621767B1|2015-11-24|2017-04-11|Intel Corporation|Spatially adaptive tone mapping for display of high dynamic range images|
    US20180343317A1|2017-05-26|2018-11-29|Microsoft Technology Licensing, Llc|Discovery Of Network Device Roles Based On Application Level Protocol Parsing In Organizational Environments|US8930331B2|2007-02-21|2015-01-06|Palantir Technologies|Providing unique views of data based on changes or rules|
    US9383911B2|2008-09-15|2016-07-05|Palantir Technologies, Inc.|Modal-less interface enhancements|
    US8799240B2|2011-06-23|2014-08-05|Palantir Technologies, Inc.|System and method for investigating large amounts of data|
    US9547693B1|2011-06-23|2017-01-17|Palantir Technologies Inc.|Periodic database search manager for multiple data sources|
    US9280532B2|2011-08-02|2016-03-08|Palantir Technologies, Inc.|System and method for accessing rich objects via spreadsheets|
    US8732574B2|2011-08-25|2014-05-20|Palantir Technologies, Inc.|System and method for parameterizing documents for automatic workflow generation|
    US8504542B2|2011-09-02|2013-08-06|Palantir Technologies, Inc.|Multi-row transactions|
    US9348677B2|2012-10-22|2016-05-24|Palantir Technologies Inc.|System and method for batch evaluation programs|
    US9092482B2|2013-03-14|2015-07-28|Palantir Technologies, Inc.|Fair scheduling for mixed-query loads|
    US10275778B1|2013-03-15|2019-04-30|Palantir Technologies Inc.|Systems and user interfaces for dynamic and interactive investigation based on automatic malfeasance clustering of related data in various data structures|
    US8909656B2|2013-03-15|2014-12-09|Palantir Technologies Inc.|Filter chains with associated multipath views for exploring large data sets|
    US8868486B2|2013-03-15|2014-10-21|Palantir Technologies Inc.|Time-sensitive cube|
    US9116975B2|2013-10-18|2015-08-25|Palantir Technologies Inc.|Systems and user interfaces for dynamic and interactive simultaneous querying of multiple data stores|
    US8786605B1|2013-10-24|2014-07-22|Palantir Technologies Inc.|Systems and methods for distance and congestion-aware resource deployment|
    US9105000B1|2013-12-10|2015-08-11|Palantir Technologies Inc.|Aggregating data from a plurality of data sources|
    US8924429B1|2014-03-18|2014-12-30|Palantir Technologies Inc.|Determining and extracting changed data from a data source|
    US9535974B1|2014-06-30|2017-01-03|Palantir Technologies Inc.|Systems and methods for identifying key phrase clusters within documents|
    US9419992B2|2014-08-13|2016-08-16|Palantir Technologies Inc.|Unwanted tunneling alert system|
    US9454281B2|2014-09-03|2016-09-27|Palantir Technologies Inc.|System for providing dynamic linked panels in user interface|
    US9898504B1|2014-10-21|2018-02-20|Amdocs Software Systems Limited|System, method, and computer program for accessing data on a big data platform|
    US9229952B1|2014-11-05|2016-01-05|Palantir Technologies, Inc.|History preserving data pipeline system and method|
    US10552994B2|2014-12-22|2020-02-04|Palantir Technologies Inc.|Systems and interactive user interfaces for dynamic retrieval, analysis, and triage of data items|
    US10362133B1|2014-12-22|2019-07-23|Palantir Technologies Inc.|Communication data processing architecture|
    US9348920B1|2014-12-22|2016-05-24|Palantir Technologies Inc.|Concept indexing among database of documents using machine learning techniques|
    US9817563B1|2014-12-29|2017-11-14|Palantir Technologies Inc.|System and method of generating data points from one or more data stores of data items for chart creation and manipulation|
    US9672257B2|2015-06-05|2017-06-06|Palantir Technologies Inc.|Time-series data storage and processing database system|
    US9384203B1|2015-06-09|2016-07-05|Palantir Technologies Inc.|Systems and methods for indexing and aggregating data records|
    US9407652B1|2015-06-26|2016-08-02|Palantir Technologies Inc.|Network anomaly detection|
    CN106407190B|2015-07-27|2020-01-14|阿里巴巴集团控股有限公司|Event record query method and device|
    US9996595B2|2015-08-03|2018-06-12|Palantir Technologies, Inc.|Providing full data provenance visualization for versioned datasets|
    US9576015B1|2015-09-09|2017-02-21|Palantir Technologies, Inc.|Domain-specific language for dataset transformations|
    US9454564B1|2015-09-09|2016-09-27|Palantir Technologies Inc.|Data integrity checks|
    US10044745B1|2015-10-12|2018-08-07|Palantir Technologies, Inc.|Systems for computer network security risk assessment including user compromise analysis associated with a network of devices|
    US9798787B1|2015-12-10|2017-10-24|Palantir Technologies Inc.|System and user interfaces for searching resources and related documents using data structures|
    US9542446B1|2015-12-17|2017-01-10|Palantir Technologies, Inc.|Automatic generation of composite datasets based on hierarchical fields|
    US10726032B2|2015-12-30|2020-07-28|Palantir Technologies, Inc.|Systems and methods for search template generation|
    US10380522B1|2015-12-31|2019-08-13|Palantir Technologies Inc.|Asset allocation evaluation system|
    US10832218B1|2016-04-05|2020-11-10|Palantir Technologies Inc.|User interface for visualization of an attrition value|
    US10007674B2|2016-06-13|2018-06-26|Palantir Technologies Inc.|Data revision control in large-scale data analytic systems|
    US9753935B1|2016-08-02|2017-09-05|Palantir Technologies Inc.|Time-series data storage and processing database system|
    US10133588B1|2016-10-20|2018-11-20|Palantir Technologies Inc.|Transforming instructions for collaborative updates|
    US10831751B2|2016-10-25|2020-11-10|International Business Machines Corporation|Query parallelism method|
    US10049133B2|2016-10-27|2018-08-14|International Business Machines Corporation|Query governor across queries|
    US9805071B1|2016-11-10|2017-10-31|Palantir Technologies Inc.|System and methods for live data migration|
    US10318630B1|2016-11-21|2019-06-11|Palantir Technologies Inc.|Analysis of large bodies of textual data|
    US10884875B2|2016-12-15|2021-01-05|Palantir Technologies Inc.|Incremental backup of computer data files|
    GB201621627D0|2016-12-19|2017-02-01|Palantir Technologies Inc|Task allocation|
    US10223099B2|2016-12-21|2019-03-05|Palantir Technologies Inc.|Systems and methods for peer-to-peer build sharing|
    US20180276213A1|2017-03-27|2018-09-27|Home Depot Product Authority, Llc|Methods and system for database request management|
    US10896097B1|2017-05-25|2021-01-19|Palantir Technologies Inc.|Approaches for backup and restoration of integrated databases|
    US10530642B1|2017-06-07|2020-01-07|Palantir Technologies Inc.|Remote configuration of a machine|
    US10956406B2|2017-06-12|2021-03-23|Palantir Technologies Inc.|Propagated deletion of database records and derived data|
    US10728166B2|2017-06-27|2020-07-28|Microsoft Technology Licensing, Llc|Throttling queue for a request scheduling and processing system|
    US10176217B1|2017-07-06|2019-01-08|Palantir Technologies, Inc.|Dynamically performing data processing in a data pipeline system|
    US10839022B1|2017-07-24|2020-11-17|Palantir Technologies Inc.|System to manage document workflows|
    US10218574B1|2017-07-26|2019-02-26|Palantir Technologies Inc.|Detecting software misconfiguration at a remote machine|
    US10324759B1|2017-08-03|2019-06-18|Palantir Technologies Inc.|Apparatus and method of securely and efficiently interfacing with a cloud computing service|
    US10417224B2|2017-08-14|2019-09-17|Palantir Technologies Inc.|Time series database processing system|
    US10216695B1|2017-09-21|2019-02-26|Palantir Technologies Inc.|Database system for time series data storage, processing, and analysis|
    US20190102391A1|2017-09-29|2019-04-04|Oracle International Corporation|Storage formats for in-memory caches|
    US10614069B2|2017-12-01|2020-04-07|Palantir Technologies Inc.|Workflow driven database partitioning|
    US11016986B2|2017-12-04|2021-05-25|Palantir Technologies Inc.|Query-based time-series data display and processing system|
    CN108595254B|2018-03-09|2022-02-22|北京永洪商智科技有限公司|Query scheduling method|
    US10678444B2|2018-04-02|2020-06-09|Cisco Technology, Inc.|Optimizing serverless computing using a distributed computing framework|
    US20190311056A1|2018-04-09|2019-10-10|International Business Machines Corporation|Dynamically slicing datastore query sizes|
    US10754822B1|2018-04-18|2020-08-25|Palantir Technologies Inc.|Systems and methods for ontology migration|
    GB201807534D0|2018-05-09|2018-06-20|Palantir Technologies Inc|Systems and methods for indexing and searching|
    US10896066B2|2018-12-13|2021-01-19|Shopify Inc.|Rate limiting in query processing based on computation cost|
    US20210004417A1|2019-07-02|2021-01-07|International Business Machines Corporation|Random sampling from a search engine|
    US11250059B2|2020-01-09|2022-02-15|Oracle International Corporation|Optimizing graph queries by performing early pruning|
    法律状态:
    2021-11-03| MM| Lapsed because of non-payment of the annual fee|Effective date: 20210401 |
    优先权:
    申请号 | 申请日 | 专利标题
    US201313826228|2013-03-14|
    US13/826,228|US9092482B2|2013-03-14|2013-03-14|Fair scheduling for mixed-query loads|
    [返回顶部]