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Information Technology Journal
Year: 2008  |  Volume: 7  |  Issue: 1  |  Page No.: 119 - 124

A New Fuzzy Clustering Algorithm on Association Rules for Knowledge Management

Pi Dechang and Qin Xiaolin    

Abstract: A great number of association rules found in the dataset makes the decision maker dizzy to analyze and use. A new algorithm for association rules clustering is proposed and applied to association rules clustering. Firstly, an example is presented to demonstrate the weakness by the distance measure for clustering. Secondly, the definition of fuzzy simulation degree and simulated matrix for association rules are put forward. Thirdly, a new algorithm based on a dynamic tree is brought forward, which can be used to implement the fuzzy clustering. Experiment shows that this algorithm can efficiently cluster the association rules for a user to understand.

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