Attribute Reduction using Forward Selection and Relative Reduct Algorithm

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Attribute reduction of an information system is a key problem in rough set theory and its applications. Rough set theory has been one of the most successful methods used for feature selection. Rough set is one of the most useful data mining techniques. This paper proposes relative reduct to solve the attribute reduction problem in roughest theory. It is the most promising technique in the rough set theory, a new mathematical approach to reduct car dataset using relative reduct algorithm.

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