基于数据立方体的多维关联规则的挖掘方法

Multidimensional Association Rule Mining Method Based on Data Cube

总结了现有基于数据立方体的多维关联规则挖掘算法，在此基础上将联机分析处理(OLAP)的钻取操作引入关联规则挖掘过程，提出了对Apriori_cube算法的改进算法，通过动态调整立方体的维层次，来挖掘出用户感兴趣的关联规则。

This paper first summarizes the existing algorithms of multidimensional association rule mining based on data cube. Then basing on the Apriori_cube algorithm, it proposes an improved method which can dynamically adjust dimensional level of the cube to mine more interesting rules to users by introducing the OLAP operations into the mining process.