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Volumn , Issue , 2007, Pages 1525-1532

Applying decision tree for automatic classification of agricultural web documents

Author keywords

Agriculture; Decision tree; Document classification; Text mining

Indexed keywords

AUTOMATIC CATEGORIZATION; AUTOMATIC CLASSIFICATION; DOCUMENT CLASSIFICATION; INFORMATION AND COMMUNICATION TECHNOLOGIES; KNOWLEDGE ORGANIZATION; LABELED DOCUMENTS; MACHINE LEARNING CLASSIFICATION; MANUAL CLASSIFICATION; TEXT MINING; TIME-CONSUMING TASKS; TRAINING SETS; WEB DOCUMENT;

EID: 72449204410     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (9)
  • 4
    • 84872078651 scopus 로고    scopus 로고
    • Search Engine Showdown: Size statistics available at http://www/ searchenginesshowdown.com/stats/sizeest.shtml
    • Size Statistics
  • 5
    • 84942613917 scopus 로고    scopus 로고
    • Automatic web-page classification by using machine learning methods
    • Springer-Verlag
    • Tsukada M., Washio T., Motoda H.: Automatic Web-Page Classification by Using Machine Learning Methods, Lecture Notes in Computer Science, Vol. 2198, Springer-Verlag (2001) 303-313.
    • (2001) Lecture Notes in Computer Science , vol.2198 , pp. 303-313
    • Tsukada, M.1    Washio, T.2    Motoda, H.3
  • 8
    • 84872053954 scopus 로고    scopus 로고
    • http://www.niederlandistis.fu-berlin/textstat/software-en.html.
  • 9
    • 84872066991 scopus 로고    scopus 로고
    • http://www.cs.waikato.ac.nz/~ml/weka/index.html.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.