Rule+Exception Learning-Based Class Specification and Labeling in Intelligence and Security Analysis

  • Jue Wang
  • Fei-Yue Wang
  • Daniel D. Zeng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3917)

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.

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jue Wang
    • 1
  • Fei-Yue Wang
    • 1
  • Daniel D. Zeng
    • 2
  1. 1.Chinese Academy of SciencesBeijingChina
  2. 2.University of ArizonaTucsonUSA

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