In order to apply the method of negative associate analysis this method has the as its interest measurement and modify the classic method : apriori method 该方法采用卡方统计量作为兴趣度度量，并修改经典关联分析方法：方法，以进行否定关联分析。
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The paper propose a new means to mine multidimensional association rules based on multidimensional frequent items set by two steps . firstly we obtain inter - dimension association rules by combining data cube technique with apriori method efficiently 本文中对基于多维的频繁项集的算法进行了探索和算法优化，尤其是通过采用了维搜索和散列的技术方法而使得系统的挖掘性能大大提高。
