%0 Journal Article
%T An Algorithm for Mining Multidimensional Fuzzy Association Rules
%A Neelu Khare
%A Neeru Adlakha
%A K. R. Pardasani
%J Computer Science
%D 2009
%I arXiv
%X 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.
%U http://arxiv.org/abs/0909.5166v1