Hybrid Particle Swarm Optimization Feature Selection for Crime Classification

Syahid Anuar; Ali Selamat; Roselina Sallehuddin

doi:10.1007/978-3-319-16211-9_11

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Hybrid Particle Swarm Optimization Feature Selection for Crime Classification

Syahid Anuar Ali Selamat Roselina Sallehuddin

Year: 2015 Studies in computational intelligence Pages: 101-110 Publisher: Springer Nature

DOI: 10.1007/978-3-319-16211-9_11

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Keywords:

Particle swarm optimization Feature selection Selection (genetic algorithm) Artificial intelligence Computer science Artificial neural network Genetic algorithm Pattern recognition (psychology) Machine learning Dimension (graph theory) Feature (linguistics) Data mining Mathematics

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Crime Patterns and Interventions

Social Sciences → Social Sciences → Sociology and Political Science

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Hybrid Particle Swarm Optimization Feature Selection for Crime Classification

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