岡山大学環境理工学部研究報告 ISSN 2187-6940
Published by Faculty of Environmental Science and Technology, Okayama University

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分割表データにおけるApriori Alogrihtmを利用した変数選択手法

大野 学 岡山大学
垂水 共之 岡山大学 Kaken ID publons researchmap
発行日
2005-02-28
抄録
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.
キーワード
Apriori Algorithm
Varable Selection
Contigency Table
Interaction
ISSN
1341-9099
NCID
AN10529213
NAID
JaLCDOI