A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules

Publication Type:
Journal Article
Citation:
Information Sciences, 2004, 164 (1-4), pp. 1 - 16
Issue Date:
2004-08-02
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There is a challenging man-machine-interface issue in existing association analysis algorithms because they are Apriori-like and the Apriori Algorithm is based on the assumption that users can specify the threshold: minimum-support. It is impossible that users give a suitable minimum-support for a database to be mined if the users are without knowledge concerning the database. In this paper, we propose a fuzzy mining strategy with database-independent minimum-support, which provides a good man-machine interface that allows users to specify the minimum-support threshold without any knowledge concerning their databases to be mined. We have evaluated the proposed approach and the experimental results have demonstrated that our algorithm is promising and efficient. © 2003 Elsevier Inc. All rights reserved.
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