Chi2: feature selection and discretization of numeric attributes

Huan Liu, Rudy Setiono

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

533 Scopus citations

Abstract

Discretization can turn numeric attributes into discrete ones. Feature selection can eliminate some irrelevant attributes. This paper describes Chi2, a simple and general algorithm that uses the X 2 statistic to discretize numeric attributes repeatedly until some inconsistencies are found in the data, and achieves feature selection via discretization. The empirical results demonstrate that Chi2 is effective in feature selection and discretization of numeric and ordinal attributes.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Tools with Artificial Intelligence
Editors Anon
PublisherIEEE
Pages388-391
Number of pages4
StatePublished - 1995
Externally publishedYes
EventProceedings of the 1995 IEEE 7th International Conference on Tools with Artificial Intelligence - Herndon, VA, USA
Duration: Nov 5 1995Nov 8 1995

Other

OtherProceedings of the 1995 IEEE 7th International Conference on Tools with Artificial Intelligence
CityHerndon, VA, USA
Period11/5/9511/8/95

    Fingerprint

ASJC Scopus subject areas

  • Software

Cite this

Liu, H., & Setiono, R. (1995). Chi2: feature selection and discretization of numeric attributes. In Anon (Ed.), Proceedings of the International Conference on Tools with Artificial Intelligence (pp. 388-391). IEEE.