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Outlier Mining in Rule-Based Knowledge Bases

  • Agnieszka Nowak-Brzezińska
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7413)

Abstract

The paper presents the problem of outlier detection in rule-based knowledge bases. Unusual (rare) rules, regarded here as deviation, should be the subject of experts’ and knowledge engineers’ analysis because they allow influencing on the efficiency of inference in decision support systems. A different approaches to find outliers and the results of the experiments are presented.

Keywords

outliers cluster analysis rules knowledge bases inference process efficiency 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Agnieszka Nowak-Brzezińska
    • 1
  1. 1.Institute of Computer ScienceUniversity of SilesiaSosnowiecPoland

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