基于矩阵行向量运算的关联规则挖掘算法研究

Research on Association Rules Mining Algorithm Based on Matrix Row Vector Operation

本文主要研究了数据挖掘中关联规则挖掘算法的改进方法,通过分析经典的Apriori算法,找出算法的不足,提出了一种基于矩阵行向量运算的频繁集挖掘的关联规则挖掘算法思想,并对Apriori算法进行了改进。

The paper mainly studies the amelioration of Association Rules Mining Algorithm in Data Mining. By analyzing the typical Apfiori algorithm and finding out its shortage, it puts forward an Association Rules Mining Algorithm based on frequent itemed mining through matrix row vector and ameliorates Apriori algorithm.