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Volumn 1910, Issue , 2000, Pages 424-431

Centroid-based document classification: Analysis and experimental results

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; NEAREST NEIGHBOR SEARCH;

EID: 84962671851     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45372-5_46     Document Type: Conference Paper
Times cited : (271)

References (20)
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    • Baker, L.1    McCallum, A.2
  • 6
    • 0003999631 scopus 로고    scopus 로고
    • Technical Report TR-00-017, Department of Computer Science, University of Minnesota, Minneapolis, Available on the, WWW at URL
    • E.H. Han and G. Karypis. Centroid-based document classification algorithms: Analysis & experimental results. Technical Report TR-00-017, Department of Computer Science, University of Minnesota, Minneapolis, 2000. Available on the WWW at URL http://www.cs.umn.edu/~karypis.
    • (2000) Centroid-based document classification algorithms: Analysis & experimental results
    • Han, E.H.1    Karypis, G.2
  • 7
    • 85030313899 scopus 로고
    • OHSUMED: An interactive retrieval evaluation and new large test collection for research
    • W. Hersh, C. Buckley, T.J. Leone, and D. Hickam. OHSUMED: An interactive retrieval evaluation and new large test collection for research. In SIGIR-94, pages 192-201, 1994.
    • (1994) SIGIR-94 , pp. 192-201
    • Hersh, W.1    Buckley, C.2    Leone, T.J.3    Hickam, D.4
  • 8
    • 0000636553 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. In Proc. of the European Conference on Machine Learning, 1998.
    • (1998) Proc. of the European Conference on Machine Learning
    • Joachims, T.1
  • 9
    • 0032282385 scopus 로고    scopus 로고
    • Using a generalized instance set for automatic text categorization
    • Wai Lam and Chao, Yang Ho. Using a generalized instance set for automatic text categorization. In SIGIR-98, 1998.
    • (1998) SIGIR-98
    • Lam, W.1    Chao, Y.H.2
  • 10
    • 0001409330 scopus 로고    scopus 로고
    • Naive (bayes) at forty: The independence assumption in information retrieval
    • D. Lewis. Naive (bayes) at forty: The independence assumption in information retrieval. In Tenth European Conference on Machine Learning, 1998.
    • (1998) Tenth European Conference on Machine Learning
    • Lewis, D.1
  • 14
    • 84948481845 scopus 로고
    • An algorithm for suffix stripping
    • M. F. Porter. An algorithm for suffix stripping. Program, 14(3): 130-137, 1980.
    • (1980) Program , vol.14 , pp. 130-137
    • Porter, M.F.1
  • 17
    • 29144528189 scopus 로고    scopus 로고
    • Afeature weight adjustment algorithm for document classification
    • Boston, MA
    • S. Shankar and G. Karypis.Afeature weight adjustment algorithm for document classification. In SIGKDD’00 Workshop on Text Mining, Boston, MA, 2000.
    • (2000) SIGKDD’00 Workshop on Text Mining
    • Shankar, S.1    Karypis, G.2
  • 19
    • 0031073477 scopus 로고    scopus 로고
    • A review and empirical evaluation of featureweighting methods for a class of lazy learning algorithms
    • D. Wettschereck, D.W. Aha, and T. Mohri. A review and empirical evaluation of featureweighting methods for a class of lazy learning algorithms. AI Review, 11, 1997.
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  • 20
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    • A re-examination of text categorization methods
    • Y.Yang and X. Liu. A re-examination of text categorization methods. In SIGIR-99, 1999.
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    • Yang, Y.1    Liu, X.2


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