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Volumn 5766 LNCS, Issue , 2009, Pages 29-41

Training data cleaning for text classification

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING METHODS; RANKING FUNCTIONS; TEXT CLASSIFICATION; THREE DIFFERENT TECHNIQUES; TRAINING DATA; TRAINING EXAMPLE; TRAINING SETS;

EID: 70350614398     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04417-5_4     Document Type: Conference Paper
Times cited : (17)

References (10)
  • 1
    • 33750291885 scopus 로고    scopus 로고
    • Esuli, A., Fagni, T., Sebastiani, F.: MP-Boost: A multiple-pivot boosting algorithm and its application to text categorization. In: Crestani, F., Ferragina, P., Sanderson, M. (eds.) SPIRE 2006. LNCS, 4209, pp. 1-12. Springer, Heidelberg (2006)
    • Esuli, A., Fagni, T., Sebastiani, F.: MP-Boost: A multiple-pivot boosting algorithm and its application to text categorization. In: Crestani, F., Ferragina, P., Sanderson, M. (eds.) SPIRE 2006. LNCS, vol. 4209, pp. 1-12. Springer, Heidelberg (2006)
  • 2
    • 0033905095 scopus 로고    scopus 로고
    • Boostexter: A boosting-based system for text categorization
    • Schapire, R.E., Singer, Y.: Boostexter: A boosting-based system for text categorization. Machine Learning 39(2/3), 135-168 (2000)
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 4
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Yang, Y.: An evaluation of statistical approaches to text categorization. Information Retrieval 1(1/2), 69-90 (1999)
    • (1999) Information Retrieval , vol.1 , Issue.1-2 , pp. 69-90
    • Yang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.