Data-Driven Adaptive Selection of Rules Quality Measures for Improving the Rules Induction Algorithm

  • Marek Sikora
  • Łukasz Wróbel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6743)


The proposition of adaptive selection of rule quality measures during rules induction is presented in the paper. In the applied algorithm the measures decide about a form of elementary conditions in a rule premise and monitor a pruning process. An influence of filtration algorithms on classification accuracy and a number of obtained rules is also presented. The analysis has been done on twenty one benchmark data sets.


rules induction rules quality measures classification 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Marek Sikora
    • 1
    • 2
  • Łukasz Wróbel
    • 1
  1. 1.Silesian University of TechnologyGliwicePoland
  2. 2.Institute of Innovative Technologies EMAGKatowicePoland

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