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Volumn 3, Issue , 2004, Pages 1711-1716

Efficient feature selection for high-dimensional data using two-level filter

Author keywords

Feature correlation; Feature selection; Filter; High dimensional data

Indexed keywords

ALGORITHMS; COMPUTER ARCHITECTURE; COMPUTER SIMULATION; FEATURE EXTRACTION; LEARNING SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; VECTORS;

EID: 6344287425     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (10)
  • 1
    • 0345143106 scopus 로고    scopus 로고
    • The problem of finding optimal subset of features
    • Feb. (in Chinese)
    • CHEN Bin, HONG Jiarong and WANG Yadong, "The problem of finding optimal subset of features"., Journal of computer, vol.20, pp. 133-138 Feb. 1997(in Chinese)
    • (1997) Journal of Computer , vol.20 , pp. 133-138
    • Chen, B.1    Hong, J.2    Wang, Y.3
  • 2
    • 0031078007 scopus 로고    scopus 로고
    • Feature selection :evaluation, application, and small sample performance
    • A. Jain and D Zongsker, "Feature selection :evaluation, application, and small sample performance", IEEE Trans. Pattern Recognition and Machine Intelligence, Vol.19, No.2, pp.153-158, 1997
    • (1997) IEEE Trans. Pattern Recognition and Machine Intelligence , vol.19 , Issue.2 , pp. 153-158
    • Jain, A.1    Zongsker, D.2
  • 10
    • 85013515810 scopus 로고
    • Comparative study of techniques for large-scale feature selection
    • F. J. Ferri, P. Pudil et al, "Comparative study of techniques for large-scale feature selection", Pattern recognition in practice IV, pp.403-413, 1994
    • (1994) Pattern Recognition in Practice , vol.4 , pp. 403-413
    • Ferri, F.J.1    Pudil, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.