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《Computer Engineering》 2003-14
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Multidimensional Association Rule Mining Method Based on Data Cube

GAO Xuedong, WANG Wenxian, WU Sen (School of Management, Beijing University of Science and Technology,Beijing 100083)  
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.
【CateGory Index】: TP311.13
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