메뉴 건너뛰기




Volumn , Issue , 2011, Pages 121-126

A novel hybrid approach of feature selection through feature clustering using microarray gene expression data

Author keywords

data mining; feature selection; hybrid methods; microarray gene expression data

Indexed keywords

CLASSIFICATION ACCURACY; DATA DIMENSIONALITY; FEATURE CLUSTERING; HYBRID APPROACH; HYBRID METHOD; MICROARRAY GENE EXPRESSION DATA; ROC CURVES; WRAPPER APPROACH;

EID: 84856729719     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HIS.2011.6122091     Document Type: Conference Paper
Times cited : (4)

References (21)
  • 1
    • 33750992805 scopus 로고    scopus 로고
    • Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis
    • M. J. Huang, M. Y. Chen, and S. C. Lee, "Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis," Expert Systems with Applications, vol. 32, pp. 856-867, 2007.
    • (2007) Expert Systems with Applications , vol.32 , pp. 856-867
    • Huang, M.J.1    Chen, M.Y.2    Lee, S.C.3
  • 2
    • 0035247432 scopus 로고    scopus 로고
    • A comparison of linear genetic programming and neural networks in medical data mining
    • M. Brameier and W. Banzhaf, "A comparison of linear genetic programming and neural networks in medical data mining,"Evolutionary Computation, IEEE Transactions on, vol. 5, pp. 17-26, 2002.
    • (2002) Evolutionary Computation, IEEE Transactions on , vol.5 , pp. 17-26
    • Brameier, M.1    Banzhaf, W.2
  • 7
    • 0036532821 scopus 로고    scopus 로고
    • A hybrid filter/wrapper approach of feature selection using information theory
    • DOI 10.1016/S0031-3203(01)00084-X, PII S003132030100084X
    • M. Sebban and R. Nock, "A hybrid filter/wrapper approach of feature selection using information theory," Pattern Recognition, vol. 35, pp. 835-846, 2002. (Pubitemid 34128810)
    • (2002) Pattern Recognition , vol.35 , Issue.4 , pp. 835-846
    • Sebban, M.1    Nock, R.2
  • 8
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • R. Kohavi and G. H. John, "Wrappers for feature subset selection,"Artificial intelligence, vol. 97, pp. 273-324, 1997.
    • (1997) Artificial Intelligence , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 12
    • 84856760312 scopus 로고    scopus 로고
    • An Evolutionary Method for Combining Different Feature Selection Criteria in Microarray Data Classification
    • D. Nicoletta and P. Barbara, "An Evolutionary Method for Combining Different Feature Selection Criteria in Microarray Data Classification," Journal of Artificial Evolution and Applications, vol. 2009, 2009.
    • (2009) Journal of Artificial Evolution and Applications , vol.2009
    • Nicoletta, D.1    Barbara, P.2
  • 14
    • 84856009921 scopus 로고    scopus 로고
    • A novel hybrid feature selection method for microarray data analysis
    • C. P. Lee and Y. Leu, "A novel hybrid feature selection method for microarray data analysis," Applied Soft Computing, 2009.
    • (2009) Applied Soft Computing
    • Lee, C.P.1    Leu, Y.2
  • 15
    • 10844250529 scopus 로고    scopus 로고
    • A novel feature selection method to improve classification of gene expression data
    • Dunedin, New Zealand: Australian Computer Society, Inc.
    • G. Liang, S. Qun, and K. Nikola, "A novel feature selection method to improve classification of gene expression data," in Proceedings of the second conference on Asia-Pacific bioinformatics - Volume 29 Dunedin, New Zealand: Australian Computer Society, Inc., 2004.
    • (2004) Proceedings of the Second Conference on Asia-Pacific Bioinformatics , vol.29
    • Liang, G.1    Qun, S.2    Nikola, K.3
  • 16
  • 18
    • 52249109156 scopus 로고    scopus 로고
    • Gene selection algorithm by combining reliefF and mRMR
    • Y. Zhang, C. Ding, and T. Li, "Gene selection algorithm by combining reliefF and mRMR," BMC genomics, vol. 9, p. S27, 2008.
    • (2008) BMC Genomics , vol.9
    • Zhang, Y.1    Ding, C.2    Li, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.