Abstract: Introduce the primary principle and theory of association rules，and study the standard Apriori algorithm.Following this，present a new weighted association rule mining algorithm against the shortages of the standard Apriori algorithm，and analyze the main traits of it.Then apply this new algorithm in E-business data mining，experimental results show that the new weighted association rule mining algorithm outperforms than the standard Apriori algorithm.

摘要： 介绍了关联规则的常用理论，研究了关联规则中的标准Apriori算法，针对其不足进行了有益的改进，提出了一种新的加权关联规则挖掘算法，并分析了其主要特点。通过把该算法用于电子商务数据挖掘中，并与标准Apriori算法的对比分析，证明了这种新的加权关联规则挖掘算法的有效性。