메뉴 건너뛰기




Volumn 3689 LNCS, Issue , 2005, Pages 558-564

An examination of feature selection frameworks in text categorization

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER SCIENCE; DATA MINING; FEATURE EXTRACTION; INFORMATION RETRIEVAL;

EID: 33646161449     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (10)
  • 2
    • 0030651099 scopus 로고    scopus 로고
    • Feature selection, perception learning, and a usability case study for text categorization
    • ACM Press
    • Ng, H. T., Goh, W. B. and Low, K. L. (1997), Feature Selection, Perception Learning, and a Usability Case Study for Text Categorization, in 'SIGIR '97: ACM Press, pp. 67-73.
    • (1997) 'SIGIR '97 , pp. 67-73
    • Ng, H.T.1    Goh, W.B.2    Low, K.L.3
  • 3
    • 16644402628 scopus 로고    scopus 로고
    • Feature selection for text categorization on imbalanced data
    • June 2004
    • Z. Zheng, X. Wu and R. Srihari, (2004). Feature Selection for Text Categorization on Imbalanced Data, ACM KDD Explorations Newsletter, 6(1), June 2004, pp.80-89.
    • (2004) ACM KDD Explorations Newsletter , vol.6 , Issue.1 , pp. 80-89
    • Zheng, Z.1    Wu, X.2    Srihari, R.3
  • 5
    • 0003141935 scopus 로고    scopus 로고
    • A comparative study on feature set selection in text categorization
    • Nashville, TN. Morgan Kaufmann
    • Yang, Y., and Pedersen, J. (1997). A comparative study on feature set selection in text categorization. In Proc. of the 14th International Conference on Machine Learning, pages 412-420, Nashville, TN. Morgan Kaufmann.
    • (1997) Proc. of the 14th International Conference on Machine Learning , pp. 412-420
    • Yang, Y.1    Pedersen, J.2
  • 6
    • 33646122183 scopus 로고    scopus 로고
    • Supervised term weighting for automated text categorization
    • Text Mining and its Applications, ed. S. Sirmakessis, Physica-Verlag, Heidelberg, DE
    • Debole, F. & Sebastiani, F., Supervised term weighting for automated text categorization. Text Mining and its Applications, ed. S. Sirmakessis, Physica-Verlag, Heidelberg, DE, Number 138 in the "Studies in Fuzziness and Soft Computing" series, pp. 81-98, 2004.
    • (2004) "Studies in Fuzziness and Soft Computing" Series , vol.138 , pp. 81-98
    • Debole, F.1    Sebastiani, F.2
  • 7
    • 84862802358 scopus 로고    scopus 로고
    • Optimally combining positive and negative features for text categorization
    • Zheng, Z., Srihari, R,. (2003). Optimally Combining Positive and Negative Features for Text Categorization. ICML 2003 Workshop.
    • (2003) ICML 2003 Workshop
    • Zheng, Z.1    Srihari, R.2
  • 8
    • 2942731012 scopus 로고    scopus 로고
    • An extensive empirical of feature selection metrics for text categorization
    • Forman, G. (2003) An Extensive Empirical of Feature Selection Metrics for Text Categorization. Journal of Machine Learning Research 3 (2003) 1289-1305.
    • (2003) Journal of Machine Learning Research , vol.3 , Issue.2003 , pp. 1289-1305
    • Forman, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.