Dynamic Programming Approach for Exact Decision Rule Optimization

Talha M. Amin, Igor Chikalov, Mikhail Moshkov, Beata Zielosko

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


This chapter is devoted to the study of an extension of dynamic programming approach that allows sequential optimization of exact decision rules relative to the length and coverage. It contains also results of experiments with decision tables from UCI Machine Learning Repository. © Springer-Verlag Berlin Heidelberg 2013.
Original languageEnglish (US)
Pages (from-to)211-228
Number of pages18
JournalRough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam
StatePublished - 2013

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01

ASJC Scopus subject areas

  • Library and Information Sciences
  • General Computer Science
  • Information Systems and Management


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