分割表データにおけるApriori Algorithmを利用した変数選択手法  [in Japanese] Variable Selection Method using Apriori Algorithm on Contingency Table  [in Japanese]

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Abstract

We proposed a new applied method for induction of variable selection on contingency table. This method is the application of Apriori algorithm on variable selection of contigency table with iteraction. We assume that variables are dichotomous variable. We confirm that can be select variable, when minimun support is low level by using AIC on variable selection criterion.

Journal

  • Journal of the Faculty of Environmental Science and Technology,Okayama University

    Journal of the Faculty of Environmental Science and Technology,Okayama University 10(1), 41-47, 2005-02

    岡山大学環境理工学部

Codes

  • NII Article ID (NAID)
    120002313938
  • NII NACSIS-CAT ID (NCID)
    AN10529213
  • Text Lang
    JPN
  • Article Type
    departmental bulletin paper
  • Journal Type
    大学紀要
  • ISSN
    13419099
  • NDL Article ID
    7324317
  • NDL Source Classification
    ZV1(一般学術誌--一般学術誌・大学紀要)
  • NDL Call No.
    Z22-B196
  • Data Source
    NDL  IR 
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