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- W2383364513 abstract "As a new mathematic method which analyses and treats the inexact,incomplete information and knowledge,rough sets has been widely used in feature subset selection and attribute reduction.In most of the existing algorithms,the dependency measure is employed to evaluate the quality of a feature subset.In this paper,discuss the disadvantages and problems of using dependency,and introduce the consistency measure to deal with the problems.The relationship between dependency and consistency is analyzed.Redefine the redundancy and reduction of rough sets,and construct a greed search algorithm to find the reduction based on consistency.The experimental results with UCI data set show that the new algorithm is effective and efficient." @default.
- W2383364513 created "2016-06-24" @default.
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- W2383364513 date "2008-01-01" @default.
- W2383364513 modified "2023-09-23" @default.
- W2383364513 title "Research of Attribute Reduction Based on Consistency Measure" @default.
- W2383364513 hasPublicationYear "2008" @default.
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