DocumentCode
2948828
Title
Chi2: feature selection and discretization of numeric attributes
Author
Liu, Huan ; Setiono, Rudy
Author_Institution
Dept. of Inf. Syst. & Comput. Sci., Nat. Univ. of Singapore, Singapore
fYear
1995
fDate
5-8 Nov 1995
Firstpage
388
Lastpage
391
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 χ2 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
Keywords
data handling; statistical analysis; uncertainty handling; Chi2; algorithm; data inconsistencies; discrete attributes; discretization; feature selection; irrelevant attributes; numeric attributes; ordinal attributes; Classification algorithms; Computer science; Equations; Frequency; Information systems; Remuneration; Statistics; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 1995. Proceedings., Seventh International Conference on
Conference_Location
Herndon, VA
ISSN
1082-3409
Print_ISBN
0-8186-7312-5
Type
conf
DOI
10.1109/TAI.1995.479783
Filename
479783
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