A fuzzy weight algorithm for mining infrequent association rules

The paper introduces the conception of significance and presents a new algorithm -a fuzzy weight algorithm with multiple supports for mining association rules, which is based on fuzzy-comprehensive evaluation and the algorithm of multiple minimum supports. The new algorithm takes support and significance into consideration at the same time when large itemsets are produced, making the filter criterion more reasonable and not missing items with high significance but low supports.