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http://dx.doi.org/10.7465/jkdi.2012.23.1.121

A study on association rule creation by marginally conditional variables  

Cho, Kwang-Hyun (Department of Early Childhood Education, Changwon National University)
Park, Hee-Chang (Department of Statistics, Changwon National University)
Publication Information
Journal of the Korean Data and Information Science Society / v.23, no.1, 2012 , pp. 121-129 More about this Journal
Abstract
Association rule mining searches for interesting relationships among items in a given database. Currently, study of the constraint-based association rules are underway by many researchers. When we create relation rule, we can often find a lot of rules. Of this rules, we can find rule that direct relativity by marginally conditional variables (intervening variable, external variable) does not exist. In such a case, this association rule can be considered insignificant. In this study, we want to study for association rules creation using marginally conditional variable. The result of this study can find meaningless association rules. Also, we can understand more exactly the relationships between variables.
Keywords
Association rule; data mining; extern variable; intervening variable; marginally conditional variables;
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Times Cited By KSCI : 4  (Citation Analysis)
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