关键词: 数据挖掘, 关联规则挖掘, 动态频繁项集挖掘

Abstract: Mining frequent itemsets is an important step in the association rules discovering.Mining the association rules has realistic meaning under the circumstance of the dynamic data changing.A new method for the mining of dynamic frequent itemsets is prensented.This method is developed based on previous episodes mining results.It only needs to scan part of the whole data set based on the previous results for the whole frequent itemsets mining at the end，and experimental results show that the performance of this algorithm is outperform the Apriori algorithm.

Key words: data mining, association rules mining, dymamic frequent itemset mining