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《Computer Engineering and Applications》 2011-30
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Metarule-guided mining of association rules based on classification of dimensions

NI Zhiwei1,2,ZHOU Zhiqiang1,2,GONG Weifeng1,2,MENG Jinhua1,2 1.School of Management,Hefei University of Technology,Hefei 230009,China 2.Key Lab of Process Optimization and Intelligent Decision-Making,Ministry of Education,Hefei 230009,China  
Metarule-guided mining of association rules can improve the efficiency and accuracy of mining process.Currently many algorithms have been proposed,especially in relational databases.In the case of data cubes,many algorithms are proposed,and most of them are based on Apriori theory,which lead to the problem of redundant predicates searching.In view of this situation,this paper proposes an algorithm LRS according to different types of dimensions in the metarule,and the ex-periment results demonstrate the effectiveness of the proposed algorithm.
【Fund】: 国家高技术研究发展计划(863)No.2007AA04Z116;; 国家自然科学基金(No.70871033)~~
【CateGory Index】: TP311.13
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