关键词: 大数据集, 关联规则挖掘, 抽样算法, EHAC算法, 准则系数

Abstract: For the data sets of the current association rule mining increasing，many sampling algorithm accuracy is not high and have to solve a series of NP hard problems.On the basis of using one frequent item to sample process，the association rules mining algorithm which based on the average classification of the n frequent itemsets——EHAC algorithm is presented.Theory and experiment show that EHAC can improve the accuracy of data mining，ensure the frequent itemsets can be divided average with the data be divided average，reduce the number of database scans，reduce the size of the database to a certain extent.

Key words: large data sets, association rules mining, sampling algorithm, EHAC algorithm, guide coefficient