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Volumn 17, Issue 9, 2005, Pages 1223-1232

Introducing a family of linear measures for feature selection in text categorization

Author keywords

Feature selection; Filtering measures; Machine learning; Text categorization

Indexed keywords

CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; LINEAR SYSTEMS; TEXT PROCESSING;

EID: 33749547796     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2005.149     Document Type: Article
Times cited : (73)

References (7)
  • 1
    • 0002442796 scopus 로고    scopus 로고
    • Machine Learning in Automated Text Categorisation
    • F. Sebastiani, "Machine Learning in Automated Text Categorisation," ACM Computing Survey, vol. 34, no. 1, 2002.
    • (2002) ACM Computing Survey , vol.34 , Issue.1
    • Sebastiani, F.1
  • 4
    • 0003141935 scopus 로고    scopus 로고
    • A Comparative Study on Feature Selection in Text Categorisation
    • Y. Yang and J.O. Pedersen, "A Comparative Study on Feature Selection in Text Categorisation," Proc. 14th Int'l Conf. Machine Learning, pp. 412-420, 1997.
    • (1997) Proc. 14th Int'l Conf. Machine Learning , pp. 412-420
    • Yang, Y.1    Pedersen, J.O.2
  • 6
    • 33845194217 scopus 로고    scopus 로고
    • Feature Selection for Unbalanced Class Distribution and Naive Bayes
    • D. Mladenic and M. Grobelnik, "Feature Selection for Unbalanced Class Distribution and Naive Bayes," Proc. 16th Int'l Conf. Machine Learning, pp. 258-267, 1999.
    • (1999) Proc. 16th Int'l Conf. Machine Learning , pp. 258-267
    • Mladenic, D.1    Grobelnik, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.