Improved Class Association Rule Mining Algorithm

Association rule mining is one of the important fields in Data mining,the most current association rules mining algorithms went less into deep analysis of association rules which meet minimum support and minimum confidence.This classification association rule mining algorithm i.e CAR-Apriori algorithm was analyzed,and based on the multiple minimum support and support difference constraint,an enhanced classification association rule mining algorithm MSCAR-Apriori algorithm was proposed.Experimental results expatiates that the improved algorithm can not only mine out the association rules to meet the given requirement,but also can keep the rule items rare,however,interested by users and also possibly implicates the rule item of huge profit.