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Volumn 88 CCIS, Issue PART 2, 2010, Pages 248-255

Mining relations between wikipedia categories

Author keywords

[No Author keywords available]

Indexed keywords

CATEGORY SYSTEMS; TWO-GRAPHS; WIKIPEDIA;

EID: 77956119408     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-14306-9_25     Document Type: Conference Paper
Times cited : (16)

References (15)
  • 2
    • 84894103275 scopus 로고    scopus 로고
    • Proceedings 10th International Conference of the International Society for Scientometrics and Informetrics
    • Voss, J.: Measuring wikipedia. In: Proceedings 10th International Conference of the International Society for Scientometrics and Informetrics (2005)
    • (2005) Measuring Wikipedia
    • Voss, J.1
  • 7
    • 2442439674 scopus 로고    scopus 로고
    • A comparison of document clustering techniques
    • Citeseer
    • Steinbach, M., Karypis, G., Kumar, V.: A comparison of document clustering techniques. In: KDD Workshop on Text Mining, Citeseer, vol. 400, pp. 525-526 (2000)
    • (2000) KDD Workshop on Text Mining , vol.400 , pp. 525-526
    • Steinbach, M.1    Karypis, G.2    Kumar, V.3
  • 8
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • Sebastiani, F.: Machine learning in automated text categorization. ACM Computing Surveys (CSUR) 34, 1-47 (2002)
    • (2002) ACM Computing Surveys (CSUR) , vol.34 , pp. 1-47
    • Sebastiani, F.1
  • 9
    • 54049091997 scopus 로고    scopus 로고
    • Text categorisation with semantic common sense knowledge: First results
    • Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds.) ICONIP 2007, Part II. Springer, Heidelberg
    • Majewski, P., Szymaski, J.: Text categorisation with semantic common sense knowledge: first results. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds.) ICONIP 2007, Part II. LNCS, vol. 4985, pp. 769-778. Springer, Heidelberg (2008)
    • (2008) LNCS , vol.4985 , pp. 769-778
    • Majewski, P.1    Szymaski, J.2
  • 11
    • 33847644550 scopus 로고    scopus 로고
    • Hierarchically SVM classification based on support vector clustering method and its application to document categorization
    • Hao, P., Chiang, J., Tu, Y.: Hierarchically SVM classification based on support vector clustering method and its application to document categorization. Expert Systems with Applications 33, 627-635 (2007)
    • (2007) Expert Systems with Applications , vol.33 , pp. 627-635
    • Hao, P.1    Chiang, J.2    Tu, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.