Using Disjunctions in Association Mining

Martin Ralbovský,Tomáš Kuchař

doi:10.1007/978-3-540-73435-2_27

Using Disjunctions in Association Mining

Martin Ralbovský, Tomáš Kuchař

https://doi.org/10.1007/978-3-540-73435-2_27

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Publication Date: Jan 1, 2007

Citations: 25

Affiliation: Prague University of Economics and Business, Charles University

#Meaningful Association Rules #GUHA Method + Show 8 more

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Abstract

The paper focuses on usage of disjunction of items in association rules mining. We used the GUHA method instead of the traditional apriori algorithm and enhanced the former implementations of the method with ability of disjunctions setting between items. Experiments were conducted in our Ferda data mining environment on data from the medical domain. We found strong and meaningful association rules that could not be obtained without the usage of disjunction.KeywordsAssociation MiningDisjunctionGUHA MethodFerda

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