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《Computer Engineering》 2008-20
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Data Cube-based Feature Core Computing Approach

LIU Ya-bo1,2,LIU Da-you1,2,GAO Ying1,2,QI Hong1,2(1.Department of Computer Science and Technology,Jilin University,Changchun 130012;2.Key Laboratory of Symbolic Computation and Knowledge Engineering,Ministry of Education,Jilin University,Changchun 130012)  
In BI system,data are formed as a multidimensional OLAP cube.This paper focuses on computing the feature core of the decision table by reusing the aggregation in cube.After the relation is established between nonempty cells in a data cube and equal classes from a decision table,a new cube-based approach of computing the feature core of a consistent decision table is put forward in this paper.And the correctness of the new approach is proved.The experiments with UCI data set show that the new approach has high time performance.
【Fund】: 国家自然科学基金资助重大项目(60496321);; 国家自然科学基金资助项目(60373098 60573073);; 国家“863”计划基金资助项目(2003AA118020)
【CateGory Index】: TP311.13
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