RESEARCH ON ALGORITHMS OF MINING ASSOCIATION RULES WITH WEIGHTED ITEMS

Algorithms for mining the weighted association rules are discussed in this paper. As far as Boolean attributes are concerned, an improved algorithm for mining the weighted association rules is provided based on the mining algorithms of MINWAL（O） and MINWAL（W）. This algorithm can effectively consider the importance of Boolean attributes and the amount of attributes in the rule. As for quantitative attributes, they are divided into several fuzzy sets by the competitive agglomeration algorithm, and then the algorithm for mining weighted fuzzy association rules is provided. This algorithm can effectively consider the importance of quantitative attributes and the amount of attributes in the rule, and can be fit for large database.