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

Abstract

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
Pages353-360
Number of pages8
ISBN (Print)3642162479; 9783642162473
DOIs
StatePublished - 2010

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'A tool for study of optimal decision trees'. Together they form a unique fingerprint.

Cite this