Multidimensional Association Rule Mining Method Based on Data Cube
WU Sen · Jisuanji gongcheng · 2003
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.