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Volumn 7, Issue , 2007, Pages 3911-3915

An improved document classification approach with maximum entropy and entropy feature selection

Author keywords

Document classification; Entropy; Feature extraction; Maximum entropy model; Support vector machine

Indexed keywords

CLASSIFICATION (OF INFORMATION); INFORMATION MANAGEMENT; NEURAL NETWORKS; PROBLEM SOLVING; REAL TIME SYSTEMS; SUPPORT VECTOR MACHINES;

EID: 38049069246     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2007.4370829     Document Type: Conference Paper
Times cited : (5)

References (14)
  • 1
    • 38049067532 scopus 로고    scopus 로고
    • Elisabeth Crawford. Phrases and Feature Selection in E-Mail Classification. ADCS-2004. pp.59-62. 2004.
    • Elisabeth Crawford. Phrases and Feature Selection in E-Mail Classification. ADCS-2004. pp.59-62. 2004.
  • 4
    • 84957069814 scopus 로고    scopus 로고
    • Text Categorization with Support Vector Machines: Learning with Many Relevant Features
    • T. Joachims. Text Categorization with Support Vector Machines: Learning with Many Relevant Features. Proceedings of the European Conference on Machine Learning, pp. 137-142. 1998.
    • (1998) Proceedings of the European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 11
    • 0035751912 scopus 로고    scopus 로고
    • Kristina Toutanova, Francine Chen, Kris Popat, Thomas Hofmann: Text Classification in a Hierarchical Mixture Model for Small Training Sets. CIKM-2001. pp. 105-112. 2001.
    • Kristina Toutanova, Francine Chen, Kris Popat, Thomas Hofmann: Text Classification in a Hierarchical Mixture Model for Small Training Sets. CIKM-2001. pp. 105-112. 2001.
  • 12
    • 35048894035 scopus 로고    scopus 로고
    • Gao Cong, Wee Sun Lee eta. Semi-supervised Text Classification Using Partitioned EM. DASFAA-2004. pp. 482-493. 2004.
    • Gao Cong, Wee Sun Lee eta. Semi-supervised Text Classification Using Partitioned EM. DASFAA-2004. pp. 482-493. 2004.
  • 14
    • 23744432473 scopus 로고    scopus 로고
    • Information gain and divergence-based feature selection for machine learning-based text categorization
    • Changki Lee, Gary Geunbae Lee. Information gain and divergence-based feature selection for machine learning-based text categorization. Information Processing and Management, pp.155-165. 2004
    • (2004) Information Processing and Management , pp. 155-165
    • Lee, C.1    Geunbae Lee, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.