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Optimization of Decision Rules Relative to Coverage - Comparative Study

  • Beata Zielosko
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8537)

Abstract

In the paper, we present a modification of the dynamic programming algorithm for optimization of decision rules relative to coverage. The aims of the paper are: (i) study of the coverage of decision rules, and (ii) study of the size of a directed acyclic graph (the number of nodes and edges), for a proposed algorithm. The paper contains experimental results with decision tables from UCI Machine Learning Repository.

Keywords

decision rules coverage dynamic programming 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Beata Zielosko
    • 1
  1. 1.Institute of Computer ScienceUniversity of SilesiaSosnowiecPoland

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