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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

One embodiment provides a system for facilitating anomaly detection and characterization. During operation, the system determines, by a computing device, a first set of testing data which includes a plurality of data points, wherein 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 respective 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 which 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.
机译:一个实施方案提供了一种用于促进异常检测和表征的系统。在操作期间,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的数据序列。系统通过将第一个设置分成多个组并对每个相应组中的数据进行间间范围分析来识别异常。系统从第一组获得第二组测试数据,该测试数据包括从最近发生在当前时间之前发生的数据序列,并且还包括来自识别的异常的第一数据点。该系统基于第二组的导数是否大于第一预定阈值,将第一数据点作为第一类型异常分类。

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