An Improved Algorithm of Data Mining Based on Association Rule of Frequent Itemstes
一个改进的关联规则的频繁项目集数据挖掘算法

The Apriori algorithm is one of the most frequently used algorithms.Its inherent defects lead to inefficient performance.In this paper,an improved method is proposed.,only needs to scan whole database once during extracting the frequent itemsets from large database.Therefore,this algorithm can efficiently reduce the I/O time,and rapidly extract association rules which can meet requirements of users.Finally,the experiment results show:the proposed method is effective.