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Volumn , Issue , 2009, Pages 81-86

A novel hybrid search algorithm for feature selection

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; ERROR RATE; EXHAUSTIVE SEARCH; FEATURE SELECTION; FEATURE SELECTION ALGORITHM; FEATURE SUBSET; HEURISTIC SEARCH; HIDDEN KNOWLEDGE; HYBRID SEARCH; HYBRID SEARCH ALGORITHMS; LARGE DATASETS; MACHINE-LEARNING; PROBABILISTIC SEARCH; RUNTIME COSTS; WRAPPER MODEL;

EID: 70449444589     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (14)
  • 1
    • 0242302657 scopus 로고    scopus 로고
    • Consistency-based search in feature selection
    • M. Dash and H. Liu, "Consistency-based search in feature selection", Artificial Intelligence, Vol. 151, Nos. 1-2, p. 151-176, 2003.
    • (2003) Artificial Intelligence , vol.151 , Issue.1-2 , pp. 151-176
    • Dash, M.1    Liu, H.2
  • 3
    • 17044405923 scopus 로고    scopus 로고
    • Toward integrating feature selection algorithms for classification and clustering
    • H. Liu and L. Yu, "Toward integrating feature selection algorithms for classification and clustering", IEEE Transactions on Knowledge and Data Engineering, Vol. 17, Issue 4, p. 491-502, 2005.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.4 , pp. 491-502
    • Liu, H.1    Yu, L.2
  • 10
    • 0036036947 scopus 로고    scopus 로고
    • Data Integration: A Theoretical Perspective
    • M. Lenzerini, "Data Integration: A Theoretical Perspective", PODS 2002: 233-246.
    • PODS 2002 , pp. 233-246
    • Lenzerini, M.1
  • 12
    • 0013326060 scopus 로고    scopus 로고
    • Feature selection for classification
    • M. Dash and H. Liu, "Feature selection for classification," Intelligent Data Analysis, 1, 131-156 (1997).
    • (1997) Intelligent Data Analysis , vol.1 , pp. 131-156
    • Dash, M.1    Liu, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.