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    • 1. 发明申请
    • Managing Content from Structured and Unstructured Data Sources
    • 从结构化和非结构化数据源管理内容
    • US20130205195A1
    • 2013-08-08
    • US13878481
    • 2010-10-19
    • Mohamed DekhilChetan Kumar Gupta
    • Mohamed DekhilChetan Kumar Gupta
    • G06F17/21
    • G06F17/218G06Q10/10G06Q30/02
    • The present disclosure provides a computer-implemented method (300) of managing content from structured and unstructured data sources. The method (300) includes adding a first item to an information management project, wherein the first item includes unstructured content selected from an unstructured data source and a data link corresponding to the unstructured content (304). The method (300) also includes adding a second item to the information management project, wherein the second item includes a database query and structured data corresponding to the database query (306). The method (300) also includes generating a presentation document based on the information management project, the presentation document comprising the unstructured content and the structured data (308).
    • 本公开提供了一种从结构化和非结构化数据源管理内容的计算机实现的方法(300)。 方法(300)包括将第一项目添加到信息管理项目,其中第一项目包括从非结构化数据源和对应于非结构化内容的数据链路选择的非结构化内容(304)。 方法(300)还包括向信息管理项目添加第二项目,其中第二项目包括对应于数据库查询的数据库查询和结构化数据(306)。 所述方法(300)还包括基于所述信息管理项目生成呈现文档,所述呈现文档包括所述非结构化内容和所述结构化数据(308)。
    • 3. 发明授权
    • Outlier data point detection
    • 异常数据点检测
    • US09195713B2
    • 2015-11-24
    • US12614432
    • 2009-11-08
    • Chetan Kumar GuptaSong WangAbhay Mehta
    • Chetan Kumar GuptaSong WangAbhay Mehta
    • G06F7/00G06F17/00G06F17/30
    • G06F17/30516
    • New data points are added to a streaming window of data points and existing data points are removed from the window over time. Each data point has a value for each of one or more dimensions. Each time a given new data point is added to the window or a given existing data point is removed from the window, one or more outlier detection data structures are updated. Each outlier detection data structure encompasses the data points within the streaming window for a corresponding dimension. The outlier detection data structures are used to detect outlier data points within the window over selected one or more dimensions.
    • 新的数据点被添加到数据点的流窗口中,并且现有的数据点随着时间从窗口中移除。 每个数据点具有一个或多个维度中的每一个的值。 每当将给定的新数据点添加到窗口或者从窗口中移除给定的现有数据点时,将更新一个或多个异常值检测数据结构。 每个异常值检测数据结构包含用于相应维度的流窗口内的数据点。 异常值检测数据结构用于在所选择的一个或多个维度上检测窗口内的异常值数据点。
    • 4. 发明授权
    • Query scheduler
    • 查询调度程序
    • US09047124B2
    • 2015-06-02
    • US12251293
    • 2008-10-14
    • Abhay MehtaChetan Kumar Gupta
    • Abhay MehtaChetan Kumar Gupta
    • G06F17/30G06F9/50
    • G06F9/5027G06F2209/5021
    • A mixed workload management system and associated operating method modify a shortest job first (SJF) by service levels. The workload management system comprises a scheduler configured for scheduling mixed workloads. The scheduler comprises an analyzer that determines query execution time, assigns scheduling priority to a query in order inverse to the query execution time, weights the assigned scheduling priority by service level of the query, and sorts a list of queries in order of weighted scheduling priority. A schedule controller selects a query for execution from head of the sorted list of queries.
    • 混合工作负载管理系统和相关操作方法按服务级别修改最短作业(SJF)。 工作负载管理系统包括被配置用于调度混合工作负载的调度器。 调度器包括确定查询执行时间的分析器,按照与查询执行时间相反的顺序为查询分配调度优先级,通过查询的服务级别对所分配的调度优先级进行加权,并且按照加权调度优先级的顺序对查询列表进行排序 。 调度控制器从排序的查询列表的头部选择执行查询。
    • 8. 发明申请
    • Event prediction
    • 事件预测
    • US20120226652A1
    • 2012-09-06
    • US13040171
    • 2011-03-03
    • Chetan Kumar GuptaSong WangAbhay Mehta
    • Chetan Kumar GuptaSong WangAbhay Mehta
    • G06N5/04
    • G06N7/005
    • A selected set of one or more first events that have occurred within current data is received. An episode set of which the selected set is a subset, the episode set including one or more second events that have occurred within historical data related to the current data is identified. One or more third events that occurred within the historical data within a predetermined time horizon after the one or more second events of the episode set occurred within the historical data are identified. The one or more third events are predicted to likely occur within the current data as a result of the one or more first events having occurred within the current data.
    • 接收在当前数据内发生的所选择的一个或多个第一事件集合。 识别所选集合是其子集的集集,包括在与当前数据相关的历史数据内发生的一个或多个第二事件的剧集集。 识别发生在历史数据中的发生集合的一个或多个第二事件之后的预定时间范围内在历史数据内发生的一个或多个第三事件。 由于一个或多个第一事件已经在当前数据内发生,所以一个或多个第三事件被预测可能发生在当前数据内。
    • 10. 发明申请
    • TRANSFORMATION OF DIRECTED ACYCLIC GRAPH QUERY PLANS TO LINEAR QUERY PLANS
    • 将线性查询计划转换为线性查询计划
    • US20110191324A1
    • 2011-08-04
    • US12697093
    • 2010-01-29
    • Song WANGChetan Kumar GuptaAbhay Mehta
    • Song WANGChetan Kumar GuptaAbhay Mehta
    • G06F17/30
    • G06F17/30
    • Methods, computer-readable storage media and computer systems are provided for transforming a directed acyclic graph (“DAG”) query plan into a linear plan. A DAG query plan may include a first operator and a second operator that are scheduled to be executed in parallel. The DAG query plan may be modified so that the first and second operators are executed in series as an upstream operator and a downstream operator. A data unit output from the upstream operator may be marked to indicate that the data unit has been processed by the upstream operator. The data unit received as input at the downstream operator may be inspected to determine whether the data unit has been marked. Once in linear form, the query plan may be optimized to conserve computing resources.
    • 提供方法,计算机可读存储介质和计算机系统用于将有向无环图(“DAG”)查询计划变换为线性规划。 DAG查询计划可以包括被调度为并行执行的第一运算符和第二运算符。 可以修改DAG查询计划,使得第一和第二运算符作为上游运算符和下游运算符串联执行。 可以标记来自上游运营商的数据单元输出,以指示数据单元已被上游运营商处理。 可以检查在下游操作者处接收作为输入的数据单元以确定数据单元是否已被标记。 一旦成为线性形式,查询计划可以被优化以节省计算资源。