A Proposed Method for Feature Selection using a Binary Particle Swarm Optimization Algorithm and Mutual Information Technique

A Proposed Method for Feature Selection using a Binary Particle Swarm Optimization Algorithm and Mutual Information Technique

Feature selection is one of the most important issues in improving the data classification process. It greatly influences the accuracy of the classification. There are many evolutionary algorithms used for this purpose, such as the Particle Swarm Optimization (PSO) in discrete space through the Bina...

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Bibliographic Details
Main Authors:	Mustafa Abed Alhafedh, Omar Qasim
Format:	Article
Language:	Arabic
Published:	Mosul University 2019-12-01
Series:	Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:	feature selection particle swarm optimization mutual information technique classification
Online Access:	https://csmj.mosuljournals.com/article_163520_78fc9eceac26796879717e46215b4a51.pdf

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