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arXiv · 0909.5166

An Algorithm for Mining Multidimensional Fuzzy Association Rules

Neelu Khare·Neeru Adlakha·K. R. Pardasani
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Abstract

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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Neelu Khare, Neeru Adlakha, K. R. Pardasani. 2009-09-28. An Algorithm for Mining Multidimensional Fuzzy Association Rules. https://arxiv.org/abs/0909.5166

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