Relationships between length and coverage of exact decision rules

Talha Amin, Igor Chikalov, Mikhail Moshkov, Beata Zielosko

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1-12
Number of pages12
JournalCEUR Workshop Proceedings
Volume928
StatePublished - Dec 1 2012
Event21th International Workshop on Concurrency, Specification and Programming, CS and P 2012 - Berlin, Germany
Duration: Sep 26 2012Sep 28 2012

Keywords

  • Coverage
  • Decision rules
  • Dynamic programming
  • Length

ASJC Scopus subject areas

  • Computer Science(all)

Fingerprint Dive into the research topics of 'Relationships between length and coverage of exact decision rules'. Together they form a unique fingerprint.

Cite this