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公开(公告)号:US20220382833A1
公开(公告)日:2022-12-01
申请号:US17483288
申请日:2021-09-23
发明人: Christopher Riddle , Gary Jorgensen , Bijan Golkar , David Chang
摘要: Techniques for automatic adaptive anomaly detection are disclosed. In some embodiments, a system, a process, and/or a computer program product for automatic anomaly detection includes handling invalid or missing data, building a model for the normal or typical statistical relationship between data, using the model to generate an anomaly score for each input set of data, threshold detection and persistence filtering, and automatic label generation for detected anomalies.