Algorithm of mining association rules with weighted items based on probability
Yin Qun · Jisuanji gongcheng · 2005
A algorithm of mining association rules with weighted items base on probability was designed,it solved the problem of the classical Apriori algorithm which can't mine association rules in the little probability items.At the same time the problem of invalidation of the downward closure property in the weighted setting was solved by using an improved model of weighted support measurements. The algorithm is both scalable and efficient in discovering relationships in practical using.