A tool for study of optimal decision trees

Abdulaziz Alkhalid, Igor Chikalov, Mikhail Moshkov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations


The paper describes a tool which allows us for relatively small decision tables to make consecutive optimization of decision trees relative to various complexity measures such as number of nodes, average depth, and depth, and to find parameters and the number of optimal decision trees. © 2010 Springer-Verlag Berlin Heidelberg.
Original languageEnglish (US)
Title of host publicationRough Set and Knowledge Technology
PublisherSpringer Nature
Number of pages8
ISBN (Print)3642162479; 9783642162473
StatePublished - 2010

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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