• 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