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Volumn 2, Issue 2, 2005, Pages 77-82

Feature selection algorithms in classification problems: An experimental evaluation

Author keywords

Feature selection; Knowledge discovery; Machine learning; Pattern recognition

Indexed keywords

LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS;

EID: 18844461996     PISSN: 17900832     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (15)
  • 1
    • 0028496468 scopus 로고
    • "Learning boolean concepts in the presence of many irrelevant features"
    • Almuallim, H. and Dietterich, T. G. (1994), "Learning boolean concepts in the presence of many irrelevant features", Artificial Intelligence, 69(1-2), 279-305.
    • (1994) Artificial Intelligence , vol.69 , Issue.1-2 , pp. 279-305
    • Almuallim, H.1    Dietterich, T.G.2
  • 2
    • 70350346892 scopus 로고
    • "Use of distance measures, information measures and error bounds in feature evaluation"
    • Krishnaiah, P.R. and Kanal, L. N. (eds.) North Holland
    • Ben-Bassat, M. (1982), "Use of distance measures, information measures and error bounds in feature evaluation", in: Krishnaiah, P.R. and Kanal, L. N. (eds.), Handbook of Statistics, North Holland, 773-791.
    • (1982) Handbook of Statistics , pp. 773-791
    • Ben-Bassat, M.1
  • 3
    • 0031334221 scopus 로고    scopus 로고
    • "Selection of relevant features and examples in machine learning"
    • Blum, A. L. and Langley, P. (1997), "Selection of relevant features and examples in machine learning", Artificial Intelligence, 97(1-2), 245-271.
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 245-271
    • Blum, A.L.1    Langley, P.2
  • 6
    • 0000406788 scopus 로고
    • "Solving multiclass learning problems via error-correcting output codes"
    • Dietterich, T. G. and Bakiri G. (1995), "Solving multiclass learning problems via error-correcting output codes", Journal of Artificial Intelligence Research, 2, 263-286.
    • (1995) Journal of Artificial Intelligence Research , vol.2 , pp. 263-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 7
    • 0027002164 scopus 로고
    • "The feature selection problem: Traditional methods and a new algorithm"
    • AAAI Press
    • Kira, K. and Rendell, L. (1992), "The feature selection problem: Traditional methods and a new algorithm", in: Proceedings of AAAI-92, AAAI Press, 129-134.
    • (1992) Proceedings of AAAI-92 , pp. 129-134
    • Kira, K.1    Rendell, L.2
  • 8
    • 0031381525 scopus 로고    scopus 로고
    • "Wrappers for feature subset selection"
    • Kohavi, R. and John, G. H. (1997), "Wrappers for feature subset selection", Artificial Intelligence, 97(1-2), 273-324.
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 13
    • 0017535866 scopus 로고
    • "A branch and bound algorithm for feature subset selection"
    • Narendra, P. and Fukunaga, K. (1977), "A branch and bound algorithm for feature subset selection", IEEE Transactions on Computers, 26(9), 917-922.
    • (1977) IEEE Transactions on Computers , vol.26 , Issue.9 , pp. 917-922
    • Narendra, P.1    Fukunaga, K.2
  • 14
    • 0028547556 scopus 로고
    • "Floating search methods in feature selection"
    • Pudil, P., Novovicova, J. and Kittler, J. (1994), "Floating search methods in feature selection", Pattern Recognition Letters, 15(11), 1119-1125.
    • (1994) Pattern Recognition Letters , vol.15 , Issue.11 , pp. 1119-1125
    • Pudil, P.1    Novovicova, J.2    Kittler, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.