Feature selection via discretization

Huan Liu, Rudy Setiono

Research output: Contribution to journalReview articlepeer-review

256 Scopus citations

Abstract

Discretization can turn numeric attributes into discrete ones. Feature selection can eliminate some irrelevant and/or redundant attributes. Chi2 is a simple and general algorithm that uses the χ 2 statistic to discretize numeric attributes repeatedly until some inconsistencies are found in the data. It achieves feature selection via discretization. It can handle mixed attributes, work with multiclass data, and remove irrelevant and redundant attributes.

Original languageEnglish (US)
Pages (from-to)642-645
Number of pages4
JournalIEEE Transactions on Knowledge and Data Engineering
Volume9
Issue number4
DOIs
StatePublished - 1997

Keywords

  • Discretization
  • Feature selection
  • Pattern classification

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

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