基于用户兴趣导向的关联规则数据挖掘

Algorithms based user transmit of Association Rules in Data Mining

本文在针对关联规则的Apriori算法的基础上,为了提高用户数据挖掘的人机交互性能,解决关联规则挖掘产生冗余规则的问题,提出了基于用户导向的关联规则挖掘方法SQL-ⅡAR算法。

Most of the algorithms of association rules are based on the Apriori algorithm. However, these algorithms will generate many useless itemsets and tedious rules, which will result in the loss of efficiency and validity. Additionally, the performance of interacting with operator of these methods is also of a sort. Thus, SQL-IIAR algorithm is developed in this paper.