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DETECTION METHOD AND APPARATUS FOR TIME SERIES ANOMALY POINT, AND DEVICE AND READABLE STORAGE MEDIUM

机译:用于时间序列异常点的检测方法和装置,以及设备和可读存储介质

摘要

A detection method and apparatus for a time series anomaly point, and a computer device and a computer-readable storage medium, which relate to the field of artificial intelligence. The method comprises: acquiring a target window in a time series to be processed, and acquiring windows to be processed corresponding to the target window (S101), wherein the number of windows to be processed is greater than one; on the basis of a preset model, determining, according to the target window and the windows to be processed, a similarity value between the target window and each of the windows to be processed (S102); and according to the similarity values, determining whether a time point corresponding to the target window is an anomaly point (S103). By means of the method, a target window and windows to be processed in a time series are acquired, such that collected sample series have a relatively small difference; and the similarity value between the target window and each of the windows to be processed is determined by means of the preset model, thereby avoiding a relatively great error in an obtained anomalous series.
机译:用于时间序列异常点的检测方法和装置,以及计算机设备和计算机可读存储介质,其涉及人工智能领域。该方法包括:在要处理的时间序列中获取目标窗口,并获取对应于目标窗口处理的窗口(S101),其中要处理的窗口的数量大于1;在预设模型的基础上,根据目标窗口确定要处理的窗口,目标窗口之间的相似性值和要处理的每个窗口(S102);并且根据相似性值,确定对应于目标窗口的时间点是异常点(S103)。通过该方法,获取在时间序列中进行处理的目标窗口和窗口,使得收集的样品系列具有相对较小的差异;并且目标窗口和要处理的每个窗口之间的相似性值由预设模型确定,从而避免了所获得的异常系列中的相对较大的错误。

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