Tackling ant colony optimization meta-heuristic as search method in feature subset selection based on correlation or consistency measures

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

Volumn 8669 LNCS, Issue , 2014, Pages 386-393

  Tallón Ballesteros, Antonio J ^a   Riquelme, José C ^a  

^a UNIVERSITY OF SEVILLE   (Spain)

Author keywords

ant colony optimization; classification; Feature selection; feature subset selection; filter; heuristic evaluator

Indexed keywords

ALGORITHMS; ANT COLONY OPTIMIZATION; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); ENGINEERING EDUCATION; FEATURE EXTRACTION; SET THEORY; OPTIMIZATION;

ANT COLONY OPTIMIZATION ALGORITHMS; BEST FIRST SEARCH; CONSISTENCY MEASURES; FEATURE SUBSET SELECTION; FEATURE SUBSET SELECTION METHODS; FILTER; HEURISTIC EVALUATOR; METAHEURISTIC;

HEURISTIC METHODS;

EID: 84958528022     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10840-7_47     Document Type: Conference Paper

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