Rough Set-Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance

Pradipta Maji; Sushmita Paul

doi:10.1007/978-3-642-30341-8_21

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Rough Set-Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance

Pradipta Maji Sushmita Paul

Year: 2012 Intelligent systems reference library Pages: 393-418 Publisher: Springer Nature

DOI: 10.1007/978-3-642-30341-8_21

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Keywords:

Feature selection Relevance (law) Support vector machine Rough set Data mining Artificial intelligence Computer science Pattern recognition (psychology) Dimensionality reduction Data set Redundancy (engineering) Relevance vector machine Quantitative structure–activity relationship Machine learning

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Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Rough Set-Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance

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