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- W2358834037 abstract "Abstrcat The knowledge of reduction is one of the important issues in the research of rough set theory. Every heuristic information for the reduction of decision table must depends on a measure of the significance of attributes in the table, because it is the key heuristic information to determine which attribute is reducible in decision table. Based on the new definition of generalized eigenvector presented in this paper and analysis of its property, a new measure of the significance of attributes in decision table is given based on the generalized eigenmatrix. The new measure can discern the difference of significance of no-core attributes that cannot be discerned by the widely-used common measures. The new definition is very useful in the practice of data mining and knowledge reduction." @default.
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- W2358834037 date "2005-01-01" @default.
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- W2358834037 title "Generalized eigenmatrix of decision table and its applications" @default.
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