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Volumn 1721, Issue , 1999, Pages 17-29

Weighted majority decision among several region rules for scientific discovery

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; FORESTRY;

EID: 84957811279     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46846-3_3     Document Type: Conference Paper
Times cited : (2)

References (16)
  • 4
    • 84957812259 scopus 로고    scopus 로고
    • Master thesis of Department of Informatics, Kyushu University, Hakozaki 6-10-1, Fukuoka 812-8581, Japan
    • M. Chikamune (1999), Data Mining Using Weighted Classification Rules (in Japanese), Master thesis of Department of Informatics, Kyushu University, Hakozaki 6-10-1, Fukuoka 812-8581, Japan.
    • (1999) Data Mining Using Weighted Classification Rules (In Japanese)
    • Chikamune, M.1
  • 13
    • 84957797103 scopus 로고    scopus 로고
    • Rulequest Research (1999), See5/C5.0, http://www.rulequest.com/.
    • (1999) Rulequest Research
  • 14
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods
    • R. E. Schapire, Y. Freund, P. Bartlett, and W. S. Lee (1998), Boosting the Margin: a New Explanation for the Effectiveness of Voting Methods. Annals of Statistics, 26, pp.1651-1686.
    • (1998) Annals of Statistics , vol.26 , pp. 1651-1686
    • Schapire, R.E.1    Freund, Y.2    Bartlett, P.3    Lee, W.S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.