Abstract:
Here we propose an adaptive local pruning method for association rules. Our method exploits the exact mapping between a certain class of association rules, namely those w...Show MoreMetadata
Abstract:
Here we propose an adaptive local pruning method for association rules. Our method exploits the exact mapping between a certain class of association rules, namely those whose consequents are singletons and backward directed hypergraphs (B-graphs). The hypergraph which represents the association rules is called an association rules network(ARN). Here we present a simple example of an ARN. We further prove several properties of the ARN and apply the results of our approach to two popular data sets.
Date of Conference: 02-02 April 2004
Date Added to IEEE Xplore: 09 August 2004
Print ISBN:0-7695-2065-0
Print ISSN: 1063-6382