A New Binary Particle Swarm Optimization for Feature Subset Selection with Support Vector Machine

Amir Behjat; Aida Mustapha; Hossein Nezamabadi–pour; Md. Nasir Sulaiman; Norwati Mustapha

doi:10.1007/978-3-319-07692-8_5

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A New Binary Particle Swarm Optimization for Feature Subset Selection with Support Vector Machine

Amir Behjat Aida Mustapha Hossein Nezamabadi–pour Md. Nasir Sulaiman Norwati Mustapha

Year: 2014 Advances in intelligent systems and computing Pages: 47-57 Publisher: Springer Nature

DOI: 10.1007/978-3-319-07692-8_5

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Keywords:

Phishing Feature selection Support vector machine Particle swarm optimization Computer science Artificial intelligence Feature vector Feature (linguistics) Binary classification Selection (genetic algorithm) Set (abstract data type) Curse of dimensionality Machine learning Data mining Binary number Pattern recognition (psychology) The Internet Mathematics World Wide Web

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A New Binary Particle Swarm Optimization for Feature Subset Selection with Support Vector Machine

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