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- W2354386094 abstract "The attribute reduction is one of the key issues on knowledge acquisition in rough set theory.In this paper,the discernibility matrix was utilized to obtain the core attribute first,then a new heuristic algorithm for attribute reduction was proposed based on the importance ratings of the attribute.Our algorithm can give proper combination of attri-butes for effective attribute reduction and therefore the complex computing is avoided,which is different from some methods relying on algebra and information entropy.Finally,the example analysis demonstrates the validity and feasibi-lity of our algorithm." @default.
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- W2354386094 date "2013-01-01" @default.
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- W2354386094 title "Study on Application of Attributive Reduction Based on Rough Sets in Data Mining" @default.
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