Rule+Exception learning-based class specification and labeling in intelligence and security analysis

Authors:
Jue Wang;Fei-Yue Wang;Daniel D. Zeng
Affiliations:
Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;University of Arizona, Tucson, Arizona
Venue:
WISI'06 Proceedings of the 2006 international conference on Intelligence and Security Informatics
Year:
2006

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Abstract

One of the key tasks in intelligence and security informatics (ISI) is to find anomalies and exceptions from typically voluminous datasets and observations [1-4]. For example, in the context of societal security, finding “exceptions” may involve discovering irregular behaviors in a community where it is assumed that most people behave normally.