• DocumentCode
    1369280
  • Title

    Feature subset selection using a genetic algorithm

  • Author

    Yang, Jihoon ; Honavar, Vasant

  • Author_Institution
    Iowa State Univ., Ames, IA, USA
  • Volume
    13
  • Issue
    2
  • fYear
    1998
  • Firstpage
    44
  • Lastpage
    49
  • Abstract
    Practical pattern-classification and knowledge-discovery problems require the selection of a subset of attributes or features to represent the patterns to be classified. The authors´ approach uses a genetic algorithm to select such subsets, achieving multicriteria optimization in terms of generalization accuracy and costs associated with the features
  • Keywords
    generalisation (artificial intelligence); genetic algorithms; knowledge acquisition; pattern classification; feature subset selection; generalization accuracy; genetic algorithm; knowledge-discovery; multicriteria optimization; pattern-classification; Blood; Costs; Genetic algorithms; Large-scale systems; Medical diagnosis; Medical tests; Neural networks; Performance evaluation; Surgery; Testing;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems and their Applications, IEEE
  • Publisher
    ieee
  • ISSN
    1094-7167
  • Type

    jour

  • DOI
    10.1109/5254.671091
  • Filename
    671091
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1369280