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Volumn 4701 LNAI, Issue , 2007, Pages 724-731

Roulette sampling for cost-sensitive learning

Author keywords

Classification; Cost sensitive learning; Data mining; Decision trees; Machine learning; Meta learning

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA MINING; DECISION TREES;

EID: 38049107996     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74958-5_73     Document Type: Conference Paper
Times cited : (17)

References (14)
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L.: Bagging predictors. Machine Learning 24, 123-140 (1996)
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 9
    • 38049126200 scopus 로고    scopus 로고
    • Quinlan, J.R. (ed.): C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)
    • Quinlan, J.R. (ed.): C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)
  • 11
    • 0000865580 scopus 로고
    • Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm
    • Turney, P.D.: Cost-sensitive classification: empirical evaluation of a hybrid genetic decision tree induction algorithm. Journal of Artificial Intelligence Research 2, 369-409 (1995)
    • (1995) Journal of Artificial Intelligence Research , vol.2 , pp. 369-409
    • Turney, P.D.1
  • 12
    • 1442275185 scopus 로고    scopus 로고
    • Learning when training data are costly: The effect of class distribution on tree induction
    • Weiss, G., Provost, F.: Learning when training data are costly: the effect of class distribution on tree induction. Journal of Artificial Intelligence Research 19, 315-354 (2003)
    • (2003) Journal of Artificial Intelligence Research , vol.19 , pp. 315-354
    • Weiss, G.1    Provost, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.