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SYSTEM AND METHOD FOR ANOMALY CHARACTERIZATION BASED ON JOINT HISTORICAL AND TIME-SERIES ANALYSIS

机译:基于联合历史和时间序列分析的异常表征系统和方法

摘要

To provide a system for facilitating anomaly detection and characterization.SOLUTION: During operation, a system determines, by a computing device, a first set of testing data which includes a plurality of data points, in which the first set includes a data series for a first variable and one or more second variables. The system identifies anomalies by dividing the first set into a number of groups and performing an inter-quartile range analysis on data in each group. The system obtains, from the first set, a second set of testing data which includes a data series from a recent time period occurring before a current time, and further includes a first data point from the identified anomalies. The system classifies the first data point as a first type of anomaly based on whether a magnitude of a derivative of the second set is greater than a first predetermined threshold.SELECTED DRAWING: Figure 1
机译:为了提供一种便于异常检测和表征的系统。解决方案:在操作过程中,系统通过计算设备确定包括多个数据点的第一组测试数据,其中第一组包括用于第一变量和一个或多个第二变量。该系统通过将第一个集合划分为多个组并对每个组中的数据执行四分位间距分析来识别异常。该系统从第一组中获得第二组测试数据,该第二组测试数据包括来自当前时间之前发生的最近时间段的数据序列,并且还包括来自所识别的异常的第一数据点。系统根据第二组导数的大小是否大于第一预定阈值将第一数据点分类为第一类异常。

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