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Rule + Exception Strategies for Security Information Analysis
September/October 2005 (vol. 20 no. 5)
pp. 52-57
Yiyu Yao, University of Regina
Fei-Yue Wang, University of Arizona
Jue Wang, Chinese Academy of Sciences
Daniel Zeng, University of Arizona
Knowledge representation based on rule + exception strategies has strong cognitive roots and can play an important role in the design and implementation of intelligent information systems, including those motivated by homeland security-related applications. In this framework, you can succinctly describe normal situations or behaviors by easily understandable rules. You can also capture abnormal cases by exceptions to these rules. This rule + exception-based approach has great potential to evolve into a unified multiple-level data description and understanding framework applicable across many security informatics applications.

This article is part of a special issue on homeland security.

Index Terms:
intelligence and security informatics, knowledge representation, classification, rules and exceptions
Citation:
Yiyu Yao, Fei-Yue Wang, Jue Wang, Daniel Zeng, "Rule + Exception Strategies for Security Information Analysis," IEEE Intelligent Systems, vol. 20, no. 5, pp. 52-57, Sept.-Oct. 2005, doi:10.1109/MIS.2005.93
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