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Volumn 1, Issue , 2002, Pages 459-463

The design and implementation of an excellent text categorization

Author keywords

Bayesian classifier; Text categorization; Text mining; VSM; Weight adjustment

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONTROL SYSTEMS; DATA MINING; MATHEMATICAL MODELS; NUMERICAL METHODS; VECTORS;

EID: 0036956083     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (6)
  • 1
    • 0002409860 scopus 로고    scopus 로고
    • A probabilistic analysis of the Rocchio algorithm with TF-IDF for text categorization
    • Morgan Kaufmann Publishers
    • Joachims T. A Probabilistic Analysis of the Rocchio Algorithm with TF-IDF for Text Categorization[A]. Proc of the 14th International Conference on Machine Learning ICML97[C], Morgan Kaufmann Publishers, 143-151, 1997.
    • (1997) Proc of the 14th International Conference on Machine Learning ICML97 , pp. 143-151
    • Joachims, T.1
  • 3
    • 0003726594 scopus 로고    scopus 로고
    • A comparative study on feature selection in text categorization[EB/OL]
    • Yiming Yang, Jan O Pedersen. A Comparative Study on Feature Selection in Text Categorization [EB/OL]. http://citeseer.nj.nec.com/yang97comparative.html, 1997.
    • (1997)
    • Yang, Y.1    Pedersen, J.O.2
  • 4
    • 0003852986 scopus 로고    scopus 로고
    • An evaluation of statistical approach to text categorization
    • Computer Science Department, Carnegie Mellon University
    • Yang Yiming. An evaluation of statistical approach to text categorization[R]. In Technical Report CMU-CS-97-127, Computer Science Department, Carnegie Mellon University, 1997.
    • (1997) Technical Report CMU-CS-97-127
    • Yang, Y.1
  • 6
    • 0012490310 scopus 로고    scopus 로고
    • Chinese source
    • 41 (7) : 98-101, 2001.
    • (2001) , vol.41 , Issue.7 , pp. 98-101


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.