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Volumn , Issue , 2003, Pages 118-120

Accuracy improvement of automatic text classification based on feature transformation

Author keywords

Automatic text classification; Principal component analysis; Variable transformation

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; PROGRAM DOCUMENTATION; STATISTICAL METHODS; VECTORS;

EID: 3543055806     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/958238.958242     Document Type: Conference Paper
Times cited : (10)

References (8)
  • 1
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • March
    • Sebastiani, F.: Machine Learning in Automated Text Categorization. ACM Computing Surveys, Vol. 34, No. 1, 1-47, March 2002.
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 2
    • 0038633562 scopus 로고    scopus 로고
    • Automatic textual document categorization based on generalized instance sets and a metamodel
    • May
    • Lam,W., Han,Y.: Automatic Textual Document Categorization Based on Generalized Instance Sets and a Metamodel. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.25, No.5, 628-633, May 2003.
    • (2003) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.25 , Issue.5 , pp. 628-633
    • Lam, W.1    Han, Y.2
  • 7
    • 34249753618 scopus 로고
    • Support-vector network
    • C. Cortes, and V. Vapnik: "Support-vector network", Machine Learning 20, pp.273-297 (1995).
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.