Particle Swarm Optimization Feature Selection for Violent Crime Classification

Mohd Syahid Anuar; Ali Selamat; Roselina Sallehuddin

doi:10.1007/978-3-319-05503-9_10

ScienceGate Book Chapters

BOOK-CHAPTER

Particle Swarm Optimization Feature Selection for Violent Crime Classification

Mohd Syahid Anuar Ali Selamat Roselina Sallehuddin

Year: 2014 Studies in computational intelligence Pages: 97-105 Publisher: Springer Nature

DOI: 10.1007/978-3-319-05503-9_10

Get Full-Text PDF Get Analytical Report

Keywords:

Particle swarm optimization Feature selection Artificial neural network Artificial intelligence Classifier (UML) Computer science Machine learning Selection (genetic algorithm) Pattern recognition (psychology)

Metrics

Cited By

0.72

FWCI (Field Weighted Citation Impact)

Refs

0.69

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Particle Swarm Optimization Feature Selection for Violent Crime Classification

Metrics

Citation History

Topics

Related Documents

Hybrid Particle Swarm Optimization Feature Selection for Crime Classification

Feature selection for classification using particle swarm optimization

Particle swarm optimization-based feature selection in sentiment classification

Feature Selection Using Particle Swarm Optimization for Microarray Data Classification

Particle Swarm Optimization-Aided Feature Selection for Spam Email Classification