A particle swarm optimisation based multi-objective filter approach to feature selection for classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7458 LNAI, Issue , 2012, Pages 673-685

  Xue, Bing ^a,b   Cervante, Liam ^a   Shang, Lin ^b   Zhang, Mengjie ^a  

^a VICTORIA UNIVERSITY OF WELLINGTON   (New Zealand)

^b NANJING UNIVERSITY   (China)

Author keywords

Feature Selection; Filter Approaches; Multi Objective Optimisation; Particle Swarm Optimisation

Indexed keywords

BENCHMARK DATASETS; BINARY PARTICLE SWARM; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; EVALUATION CRITERIA; FILTER APPROACH; MULTI OBJECTIVE; MULTI OBJECTIVE ALGORITHM; MUTUAL INFORMATIONS; NON-DOMINATED SORTING; NONDOMINATED SOLUTIONS; PARTICLE SWARM OPTIMISATION; SINGLE OBJECTIVE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION TREES; ENTROPY; FEATURE EXTRACTION; MULTIOBJECTIVE OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO);

CLASSIFICATION (OF INFORMATION);

EID: 84867687548     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-32695-0_59     Document Type: Conference Paper

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