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Volumn 3138, Issue , 2004, Pages 771-779

A two-stage classifier with reject option for text categorisation

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION);

EID: 35048884655     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27868-9_84     Document Type: Article
Times cited : (10)

References (13)
  • 1
    • 84937744538 scopus 로고
    • An optimum Character Recognition System Using Decision Functions
    • Chow, C.K.: An optimum Character Recognition System Using Decision Functions. IRE Trans, on Electronic Computers 6 (1957) 247-254
    • (1957) IRE Trans, on Electronic Computers , vol.6 , pp. 247-254
    • Chow, C.K.1
  • 2
  • 5
    • 84957069814 scopus 로고    scopus 로고
    • Text Categorization with Support Vector Machines: Learning with Many Relevant Features
    • Joachims, T.: Text Categorization with Support Vector Machines: Learning with Many Relevant Features. In: Proc. 10th European Conference on Machine Learning (1998) 137-142
    • (1998) Proc. 10th European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 6
    • 26944485923 scopus 로고    scopus 로고
    • Classification of Text Documents
    • Li, Y.H., Jain, A.K.: Classification of Text Documents. The Computer Journal 41 (1998) 537-546
    • (1998) The Computer Journal , vol.41 , pp. 537-546
    • Li, Y.H.1    Jain, A.K.2
  • 9
    • 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 (2000) 135-168
    • (2000) Machine Learning , vol.39 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 10
    • 0002442796 scopus 로고    scopus 로고
    • Machine Learning in Automated Text Categorization
    • Sebastiani, F.: Machine Learning in Automated Text Categorization. ACM Computing Surveys 34 (2002) 1-47
    • (2002) ACM Computing Surveys , vol.34 , pp. 1-47
    • Sebastiani, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.