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Volumn 65, Issue , 2015, Pages 109-115

Feature subset selection using naive Bayes for text classification

Author keywords

Bayesian model averaging; Global selection index; Latent selection augmented naive Bayes; Local selection index; Text classification

Indexed keywords

BAYESIAN NETWORKS; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; NUMERICAL METHODS; TEXT PROCESSING;

EID: 84939803083     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2015.07.028     Document Type: Article
Times cited : (77)

References (32)
  • 1
    • 84880142860 scopus 로고    scopus 로고
    • Testing the statistical significance of an ultra-high-dimensional naive Bayes classifier
    • B. An, H. Wang, and J. Guo Testing the statistical significance of an ultra-high-dimensional naive Bayes classifier Stat. Interf. 6 2013 223 229
    • (2013) Stat. Interf. , vol.6 , pp. 223-229
    • An, B.1    Wang, H.2    Guo, J.3
  • 2
    • 84886567160 scopus 로고    scopus 로고
    • University of California, School of Information and Computer Science Irvine, CA
    • K. Bache, and M. Lichman UCI Machine Learning Repository 2013 University of California, School of Information and Computer Science Irvine, CA
    • (2013) UCI Machine Learning Repository
    • Bache, K.1    Lichman, M.2
  • 3
    • 34547688866 scopus 로고    scopus 로고
    • Compression-based averaging of selective naive Bayes classifiers
    • M. Boullé Compression-based averaging of selective naive Bayes classifiers J. Mach. Learn. Res. 8 2007 1659 1685
    • (2007) J. Mach. Learn. Res. , vol.8 , pp. 1659-1685
    • Boullé, M.1
  • 4
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: a library for support vector machines
    • C. Chang, and C. Lin LIBSVM: a library for support vector machines ACM Trans. Intell. Syst. Technol. 2 3 2011 27
    • (2011) ACM Trans. Intell. Syst. Technol. , vol.2 , Issue.3 , pp. 27
    • Chang, C.1    Lin, C.2
  • 6
    • 29144531645 scopus 로고    scopus 로고
    • Model averaging for prediction with discrete Bayesian networks
    • D. Dash, and G. Cooper Model averaging for prediction with discrete Bayesian networks J. Mach. Learn. Res. 5 2004 1177 1203
    • (2004) J. Mach. Learn. Res. , vol.5 , pp. 1177-1203
    • Dash, D.1    Cooper, G.2
  • 7
    • 84886193637 scopus 로고
    • The efficiency of logistic regression compared to normal discriminant analysis
    • B. Efron The efficiency of logistic regression compared to normal discriminant analysis J. Am. Stat. Assoc. 70 1975 892 898
    • (1975) J. Am. Stat. Assoc. , vol.70 , pp. 892-898
    • Efron, B.1
  • 8
    • 84857369324 scopus 로고    scopus 로고
    • A Bayesian feature selection paradigm for text classification
    • G. Feng, J. Guo, B. Jing, and L. Hao A Bayesian feature selection paradigm for text classification Inform. Process. Manage. 48 2012 283 302
    • (2012) Inform. Process. Manage. , vol.48 , pp. 283-302
    • Feng, G.1    Guo, J.2    Jing, B.3    Hao, L.4
  • 9
    • 2942731012 scopus 로고    scopus 로고
    • An extensive empirical study of feature selection metrics for text classification
    • G. Forman An extensive empirical study of feature selection metrics for text classification J. Mach. Learn. Res. 3 2003 1289 1305
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 1289-1305
    • Forman, G.1
  • 11
    • 77956889087 scopus 로고
    • Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
    • P.J. Green Reversible jump Markov chain Monte Carlo computation and Bayesian model determination Biometrika 82 4 1995 711 732
    • (1995) Biometrika , vol.82 , Issue.4 , pp. 711-732
    • Green, P.J.1
  • 12
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • I. Guyon, and A. Elisseeff An introduction to variable and feature selection J. Mach. Learn. Res. 3 2003 1157 1182
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 13
    • 33646391384 scopus 로고    scopus 로고
    • Result analysis of the NIPS 2003 feature selection challenge
    • I. Guyon, S. Gunn, A. Ben-Hur, and G. Dror Result analysis of the NIPS 2003 feature selection challenge NIPS 17 2004 545 552
    • (2004) NIPS , vol.17 , pp. 545-552
    • Guyon, I.1    Gunn, S.2    Ben-Hur, A.3    Dror, G.4
  • 16
    • 84953744816 scopus 로고
    • A statistical interpretation of term specificity and its application in retrieval
    • K.S. Jones A statistical interpretation of term specificity and its application in retrieval J. Docum. 28 1972 11 21
    • (1972) J. Docum. , vol.28 , pp. 11-21
    • Jones, K.S.1
  • 17
    • 0012435995 scopus 로고    scopus 로고
    • A probabilistic model of information retrieval: development and comparative experiments
    • K.S. Jones, S. Walker, and S.E. Robertson A probabilistic model of information retrieval: development and comparative experiments Inform. Process. Manage. 36 2000 779 840
    • (2000) Inform. Process. Manage. , vol.36 , pp. 779-840
    • Jones, K.S.1    Walker, S.2    Robertson, S.E.3
  • 20
    • 62249199807 scopus 로고    scopus 로고
    • Supervised and traditional term weighting methods for automatic text categorization
    • M. Lan, C.L. Tan, J. Su, and Y. Lu Supervised and traditional term weighting methods for automatic text categorization IEEE Trans. Pattern Anal. Mach. Intell. 31 4 2009 721 735
    • (2009) IEEE Trans. Pattern Anal. Mach. Intell. , vol.31 , Issue.4 , pp. 721-735
    • Lan, M.1    Tan, C.L.2    Su, J.3    Lu, Y.4
  • 22
    • 84863137187 scopus 로고    scopus 로고
    • Calculating feature weights in naive Bayes with Kullback-Leibler measure
    • C.H. Lee, F. Gutierrez, and D. Dou Calculating feature weights in naive Bayes with Kullback-Leibler measure Proceedings of ICDM 2011 1146 1151
    • (2011) Proceedings of ICDM , pp. 1146-1151
    • Lee, C.H.1    Gutierrez, F.2    Dou, D.3
  • 24
    • 84950945692 scopus 로고
    • Model selection and accounting for model uncertainty in graphical models using Occam's window
    • D. Madigan, and A.E. Raftery Model selection and accounting for model uncertainty in graphical models using Occam's window J. Am. Stat. Assoc. 89 1994 1535 1546
    • (1994) J. Am. Stat. Assoc. , vol.89 , pp. 1535-1546
    • Madigan, D.1    Raftery, A.E.2
  • 27
    • 1942418620 scopus 로고    scopus 로고
    • On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes
    • A.Y. Ng, and M.I. Jordan On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes NIPS 2001 841 848
    • (2001) NIPS , pp. 841-848
    • Ng, A.Y.1    Jordan, M.I.2
  • 29
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • F. Sebastiani Machine learning in automated text categorization ACM Comput. Surv. 34 1 2002 1 47
    • (2002) ACM Comput. Surv. , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.