An Efficient Feature Selection Method Using Hybrid Particle Swarm Optimization with Genetic Algorithm

A.Sankara Narayanan; Angam Praveen

doi:10.1007/978-3-030-03146-6_133

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An Efficient Feature Selection Method Using Hybrid Particle Swarm Optimization with Genetic Algorithm

A.Sankara Narayanan Angam Praveen

Year: 2018 Lecture notes on data engineering and communications technologies Pages: 1148-1155 Publisher: Springer International Publishing

DOI: 10.1007/978-3-030-03146-6_133

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Keywords:

Classifier (UML) Feature selection Computer science Particle swarm optimization Big data Workload Data mining Genetic algorithm Artificial intelligence Data classification Machine learning Pattern recognition (psychology) Algorithm

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Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

An Efficient Feature Selection Method Using Hybrid Particle Swarm Optimization with Genetic Algorithm

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