Framework for efficient feature selection in genetic algorithm based data mining
type: Item
instance of: scholarly article
title: Framework for efficient feature selection in genetic algorithm based data mining
zbMATH Open document ID: 1123.90081
author: Riyaz Sikora
author: Selwyn Piramuthu
published in: European Journal of Operational Research
publication date: 2007-03-08T00:00:00Z
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 5131601
zbMATH Keywords: genetic algorithms
zbMATH Keywords: rule learning
zbMATH Keywords: knowledge discover
zbMATH Keywords: data mining
zbMATH Keywords: evolutionary algorithms
describes a project that uses: DistAl
describes a project that uses: C4.5
MaRDI profile type: Publication
full work available at URL: j.ejor.2006.02.040
OpenAlex ID: W2100909564
cites work: Feature Selection via Mathematical Programming
cites work: The Best Two Independent Measurements Are Not the Two Best
cites work: Q4142325
cites work: Q4692508
cites work: Mathematical methods of feature selection in pattern recognition
cites work: Q3869981
cites work: A Double-Layered Learning Approach to Acquiring Rules for Classification: Integrating Genetic Algorithms with Similarity-Based Learning
cites work: Q3358073
DOI: 10.1016/J.EJOR.2006.02.040
description: scientific article; zbMATH DE number 5131601