Invention Grant
- Patent Title: Sequential anomaly detection
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Application No.: US13969151Application Date: 2013-08-16
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Publication No.: US09727821B2Publication Date: 2017-08-08
- Inventor: Ching-Yung Lin , Yale Song , Zhen Wen
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Otterstedt, Ellenbogen & Kammer, LLP
- Agent Daniel P. Morris
- Main IPC: G06N5/02
- IPC: G06N5/02 ; G06N99/00 ; G06N7/00

Abstract:
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.
Public/Granted literature
- US20150052090A1 SEQUENTIAL ANOMALY DETECTION Public/Granted day:2015-02-19
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