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Volumn 16, Issue 4, 2006, Pages 503-511

Correlation-based feature selection strategy in classification problems

Author keywords

Feature correlation; Feature selection; Pairwise feature evaluation; Pattern classification

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; CORRELATION METHODS; SET THEORY;

EID: 33846286874     PISSN: 1641876X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (47)

References (10)
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    • Cover T.M. and van Campenhout J.M. (1977): On the possible ordering in the measurement selection problem. - IEEE Trans. Syst. Man Cybern., SMC-07(9), pp. 657-661.
    • (1977) IEEE Trans. Syst. Man Cybern. , vol.SMC-07 , Issue.9 , pp. 657-661
    • Cover, T.M.1    van Campenhout, J.M.2
  • 3
    • 0010739663 scopus 로고    scopus 로고
    • Filters, wrappers and a boosting-based hybrid for feature selection
    • San Francisco, Ca. USA
    • Das S. (2001): Filters, wrappers and a boosting-based hybrid for feature selection. - Int. Conf. Machine Learning, San Francisco, Ca. USA, pp. 74-81.
    • (2001) Int. Conf. Machine Learning , pp. 74-81
    • Das, S.1
  • 6
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi R. and John G.H. (1997): Wrappers for feature subset selection. - Artif. Intell., Vol. 97, Nos. 1-2, pp. 273-324.
    • (1997) Artif. Intell. , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 8
    • 33846275205 scopus 로고    scopus 로고
    • Pairwise selection of features and prototypes
    • Computer Recognition Systems (Kurzyński M., Puchała E., Woźniak M., Zolnierek, Eds.). Advances in Soft Computing, Berlin: Springer
    • Pekalska E., Harol A., Lai C. and Duin R.P.W. (2005): Pairwise selection of features and prototypes, In: Computer Recognition Systems (Kurzyński M., Puchała E., Woźniak M., Zolnierek, Eds.). - Proc. 4-th Int. Conf. Computer Recognition Systems, CORES'05, Advances in Soft Computing, Berlin: Springer, pp. 271-278.
    • (2005) Proc. 4-th Int. Conf. Computer Recognition Systems, CORES'05 , pp. 271-278
    • Pekalska, E.1    Harol, A.2    Lai, C.3    Duin, R.P.W.4
  • 9
    • 0028547556 scopus 로고
    • Floating search methods in feature selection
    • Pudil P., Novovicova J. and Kittler J. (1994): Floating search methods in feature selection. - Pattern Recogn. Lett., Vol. 15, No. 11, pp. 1119-1125.
    • (1994) Pattern Recogn. Lett. , vol.15 , Issue.11 , pp. 1119-1125
    • Pudil, P.1    Novovicova, J.2    Kittler, J.3
  • 10
    • 0003076895 scopus 로고    scopus 로고
    • Feature selection for high-dimensional genomic microarray data
    • San Francisco, CA, USA
    • Xing E., Jordan M. and Karp R. (2001): Feature selection for high-dimensional genomic microarray data. - Proc. Int. Conf. Machine Learning, San Francisco, CA, USA, pp. 601-608.
    • (2001) Proc. Int. Conf. Machine Learning , pp. 601-608
    • Xing, E.1    Jordan, M.2    Karp, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.