- 专利标题: Anomaly score adjustment across anomaly generators
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申请号: US15091209申请日: 2016-04-05
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公开(公告)号: US10657434B2公开(公告)日: 2020-05-19
- 发明人: Ming-Jung Seow , Gang Xu , Tao Yang , Wesley Kenneth Cobb
- 申请人: Intellective Ai, Inc.
- 申请人地址: US TX Dallas
- 专利权人: Intellective Ai, Inc.
- 当前专利权人: Intellective Ai, Inc.
- 当前专利权人地址: US TX Dallas
- 主分类号: G06N3/02
- IPC分类号: G06N3/02
摘要:
Techniques are disclosed for generating an anomaly score for a neuro-linguistic model of input data obtained from one or more sources. According to one embodiment, generating an anomaly score comprises receiving a score indicating how often a characteristic is observed in the input data. Upon receiving the score, comparing the score with an unusual score model to determine an unusualness score and comparing the unusualness score with an anomaly score model based on one or more unusual score models to generate the anomaly score indicating an overall unusualness for the input data.
公开/授权文献
- US20170286863A1 ANOMALY SCORE ADJUSTMENT ACROSS ANOMALY GENERATORS 公开/授权日:2017-10-05
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