基于有向超图的关联规则局部剪枝

S. Chawla, Joseph G. Davis, G. Pandey
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引用次数: 29

摘要

本文提出了一种自适应的关联规则局部剪枝方法。我们的方法利用了某一类关联规则之间的精确映射,即那些结果是单例和向后有向超图(b图)的关联规则。表示关联规则的超图称为关联规则网络(ARN)。这里我们给出一个简单的ARN示例。我们进一步证明了ARN的几个性质,并将我们方法的结果应用于两个流行的数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On local pruning of association rules using directed hypergraphs
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.
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