Finding interesting rules exploiting rough memberships

Lipika Dey, Amir Ahmad, Sachin Kumar

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

Abstract

In this paper we propose a method to identify significant attributes which aid in good classification, as well as introduce certain degrees of roughness. Exception rules are formed with these attributes using the fact that exceptional elements have high rough memberships to more than one distinct class.

Original languageEnglish
Title of host publicationPattern Recognition and Machine Intelligence - First International Conference, PReMI 2005, Proceedings
Pages732-737
Number of pages6
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event1st International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005 - Kolkata, India
Duration: Dec 20 2005Dec 22 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3776 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005
Country/TerritoryIndia
CityKolkata
Period12/20/0512/22/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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