Feature selection using consistency measure

Manoranjan Dash, Huan Liu, Hiroshi Motoda

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

1 Scopus citations

Abstract

Feature selection methods search for an “optimal” subset of features. Many methods exist. We evaluate consistency measure along with different search techniques applied in the literature and suggest a guideline of its use.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages319-320
Number of pages2
Volume1721
ISBN (Print)354066713X, 9783540667131
DOIs
StatePublished - 1999
Externally publishedYes
Event2nd International Conference on Discovery Science, DS 1999 - Tokyo, Japan
Duration: Dec 6 1999Dec 8 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1721

Other

Other2nd International Conference on Discovery Science, DS 1999
Country/TerritoryJapan
CityTokyo
Period12/6/9912/8/99

ASJC Scopus subject areas

  • General Computer Science
  • Theoretical Computer Science

Fingerprint

Dive into the research topics of 'Feature selection using consistency measure'. Together they form a unique fingerprint.

Cite this