Relationships Between Length and Coverage of Decision Rules

  • Authors:
  • Talha Amin;Igor Chikalov;Mikhail Moshkov;Beata Zielosko

  • Affiliations:
  • Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia. {talha.amin, igor.chikalov, mikhail.mo ...;Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia. {talha.amin, igor.chikalov, mikhail.mo ...;Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia. {talha.amin, igor.chikalov, mikhail.mo ...;Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia. {talha.amin, igor.chikalov, mikhail.mo ...

  • Venue:
  • Fundamenta Informaticae - Dedicated to the Memory of Professor Manfred Kudlek
  • Year:
  • 2014

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Abstract

The paper describes a new tool for study relationships between length and coverage of exact decision rules. This tool is based on dynamic programming approach. We also present results of experiments with decision tables from UCI Machine Learning Repository.