Using metarules to organize and group discovered association rules
Data Mining and Knowledge Discovery
Augmenting productivity analysis with data mining: An application on IT business value
Expert Systems with Applications: An International Journal
A fast pruning redundant rule method using Galois connection
Applied Soft Computing
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In this paper we propose an adaptive local pruningmethod for association rules. Our method exploits the exactmapping between a certain class of association rules,namely those whose consequents are singletons and backwarddirected hypergraphs (B-Graphs). The hypergraphwhich represents the association rules is called an AssociationRules Network(ARN). Here we present a simple exampleof an ARN. In the full paper we prove several propertiesof the ARN and apply the results of our approach totwo popular data sets.