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Rule quality measures in creation and reduction of data rule models

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

26 Citations (Scopus)

Abstract

Properties of several rule quality measures are characterized in the paper. Possibilities of their application in algorithms of rules induction and reduction are presented. Influence of replacing rules accuracy with the Bayesian confirmation measure has been tested.

Original languageEnglish
Title of host publicationRough Sets and Current Trends in Computing - 5th International Conference, RSCTC 2006, Proceedings
PublisherSpringer Verlag
Pages716-725
Number of pages10
ISBN (Print)3540476938, 9783540476931
DOIs
Publication statusPublished - 2006
Event5th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2006 - Kobe, Japan
Duration: 6 Nov 20068 Nov 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4259 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2006
Country/TerritoryJapan
CityKobe
Period6/11/068/11/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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