Feature selection via discretization

Huan Liu, Rudy Setiono

Research output: Contribution to journalReview articlepeer-review

289 Scopus citations


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
Issue number4
StatePublished - 1997
Externally publishedYes


  • Discretization
  • Feature selection
  • Pattern classification

ASJC Scopus subject areas

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


Dive into the research topics of 'Feature selection via discretization'. Together they form a unique fingerprint.

Cite this