- 专利标题: Sequential anomaly detection
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申请号: US13969151申请日: 2013-08-16
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公开(公告)号: US09727821B2公开(公告)日: 2017-08-08
- 发明人: Ching-Yung Lin , Yale Song , Zhen Wen
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人地址: US NY Armonk
- 代理机构: Otterstedt, Ellenbogen & Kammer, LLP
- 代理商 Daniel P. Morris
- 主分类号: G06N5/02
- IPC分类号: G06N5/02 ; G06N99/00 ; G06N7/00
摘要:
A dataset including at least one temporal event sequence is collected. A one-class sequence classifier f(x) that obtains a decision boundary is statistically learned. At least one new temporal event sequence is evaluated, wherein the at least one new temporal event sequence is outside of the dataset. It is determined whether the at least one new temporal event sequence is one of a normal sequence or an abnormal sequence based on the evaluation. Numerous additional aspects are disclosed.
公开/授权文献
- US20150052090A1 SEQUENTIAL ANOMALY DETECTION 公开/授权日:2015-02-19
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