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Greedy Algorithm for Optimization of Association Rules Relative to Length

  • Beata ZieloskoEmail author
  • Marek Robaszkiewicz
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 56)

Abstract

In the paper, an optimization of \(\alpha \)-Association rules constructed by greedy algorithm is proposed. It allows us to decrease the number of rules and obtain short rules, what is important from the point of view of knowledge representation. Experimental results for data sets from UCI Machine Learning Respository are presented.

Keywords

Rough sets Length Greedy algorithm Association rules 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Institute of Computer Science, University of SilesiaSosnowiecPoland
  2. 2.EL-PLUSChorzówPoland

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