Invention Grant
- Patent Title: Identifying inconsistencies in object similarities from multiple information sources
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Application No.: US14011175Application Date: 2013-08-27
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Publication No.: US09330163B2Publication Date: 2016-05-03
- Inventor: Wei Fan , Jing Gao , Srinivasan Parthasarathy , Deepak Turaga
- 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: F. Chau & Associates, LLC
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G11B27/32

Abstract:
A horizontal anomaly detection method includes receiving at plurality of objects described in a plurality of information sources, wherein each individual information source captures a plurality of similarity relationships between the objects, combining the information sources to determine a similarity matrix whose entries represent quantitative scores of similarity between pairs of the objects, and identifying at least one horizontal anomaly of the objects within the similarity matrix, wherein the horizontal anomalies are anomalous relationships across the plurality of information sources.
Public/Granted literature
- US20130346411A1 IDENTIFYING INCONSISTENCIES IN OBJECT SIMILARITIES FROM MULTIPLE INFORMATION SOURCES Public/Granted day:2013-12-26
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