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Volumn 3316, Issue , 2004, Pages 516-523

Improving kNN based text classification with well estimated parameters

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); TEXT PROCESSING;

EID: 33644491983     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30499-9_79     Document Type: Article
Times cited : (18)

References (10)
  • 3
    • 0002312061 scopus 로고
    • Feature Selection and Feature Extraction of Text Categorization
    • David D. Lewis. Feature Selection and Feature Extraction of Text Categorization. Proc. of Speech and Natural Language Workshop, (1992) 212-217
    • (1992) Proc. of Speech and Natural Language Workshop , pp. 212-217
    • Lewis, D.D.1
  • 8
    • 35048892573 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Y. Yang. An evaluation of statistical approaches to text categorization. Journal of Information Access, (1996) 99-95
    • (1996) Journal of Information Access , pp. 99-195
    • Yang, Y.1
  • 9
    • 0003141935 scopus 로고    scopus 로고
    • A comparative study on feature selection in text categorization
    • Jr. D. H. Fisher, editor, Morgan Kaufmann
    • Y. Yang and J.P. Pedersen. A comparative study on feature selection in text categorization. In Jr. D. H. Fisher, editor, The Fourteenth Int. Conf. on Machine Learning, Morgan Kaufmann, (1997) 412-420
    • (1997) The Fourteenth Int. Conf. on Machine Learning , pp. 412-420
    • Yang, Y.1    Pedersen, J.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.