Detecting anomalies in time series data
    3.
    发明授权
    Detecting anomalies in time series data 有权
    检测时间序列数据中的异常

    公开(公告)号:US08949677B1

    公开(公告)日:2015-02-03

    申请号:US13478531

    申请日:2012-05-23

    IPC分类号: G06F11/00

    摘要: Disclosed are various embodiments for detecting anomalies in time series data. At least one anomaly is detected in a time series that is derived from a corresponding metric observed from a computing system. The time series is non-stationary time series or heteroskedastic. The detected anomaly is correlated with at least one of a plurality of external events affecting the computing system. A magnitude is assigned to the detected anomaly. The detected one anomaly, the assigned magnitude, and the correlated at least one external event are reported to a client device.

    摘要翻译: 公开了用于检测时间序列数据中的异常的各种实施例。 在从计算系统观察到的对应度量导出的时间序列中检测到至少一个异常。 时间序列是非平稳时间序列或异方差的。 检测到的异常与影响计算系统的多个外部事件中的至少一个相关。 大小被分配给检测到的异常。 检测到的一个异常,分配的大小和相关的至少一个外部事件被报告给客户端设备。