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    • 23. 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。
    • 25. 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。