arXiv 0909.51662009-09-28cs.IRcs.DB

An Algorithm for Mining Multidimensional Fuzzy Association Rules

Neelu Khare, Neeru Adlakha, K. R. Pardasani

备注：: 5 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS 2009, ISSN 1947 5500, Impact Factor 0.423, http://sites.google.com/site/ijcsis/
发表信息：: International Journal of Computer Science and Information Security, IJCSIS, Vol. 5, No. 1, pp. 72-76, September 2009, USA

英文摘要：

Multidimensional association rule mining searches for interesting relationship among the values from different dimensions or attributes in a relational database. In this method the correlation is among set of dimensions i.e., the items forming a rule come from different dimensions. Therefore each dimension should be partitioned at the fuzzy set level. This paper proposes a new algorithm for generating multidimensional association rules by utilizing fuzzy sets. A database consisting of fuzzy transactions, the Apriory property is employed to prune the useless candidates, itemsets.

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