Discrete particle swarm optimization approach for cost sensitive attribute reduction

    Knowl.-Based Syst., Volume 102, Issue C, 2016, Pages 116-126.

    Cited by: 29|Bibtex|Views3|Links
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    Abstract:

    Attribute reduction is a key issue in rough set theory which is widely used to handle uncertain knowledge. However, most existing attribute reduction approaches focus on cost insensitive data. There are relatively few studies on cost sensitive data. Especially, how to evaluate a cost sensitive reduction algorithm is still an issue needing...More

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