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Volumn , Issue , 2011, Pages 556-563

Leakage in data mining: Formulation, detection, and avoidance

Author keywords

Data mining; Leakage; Predictive modeling; Statistical inference

Indexed keywords

INFORMATION MANAGEMENT;

EID: 80052651220     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2020408.2020496     Document Type: Conference Paper
Times cited : (118)

References (16)
  • 4
    • 3242806004 scopus 로고    scopus 로고
    • Les-sons and challenges from mining retail e-commerce data
    • Kohavi, R., Mason L., Parekh, R. and Zheng Z. 2004. Les-sons and challenges from mining retail e-commerce data. Machine Learning. 57(1-2).
    • (2004) Machine Learning , vol.57 , Issue.1-2
    • Kohavi, R.1    Mason, L.2    Parekh, R.3    Zheng, Z.4
  • 5
    • 0001561481 scopus 로고
    • Data-snooping biases in tests of financial asset pricing models
    • Lo, A.W. and MacKinlay A.C. 1990. Data-snooping biases in tests of financial asset pricing models. Review of Financial Studies. 3(3) 431-467.
    • (1990) Review of Financial Studies , vol.3 , Issue.3 , pp. 431-467
    • Lo, A.W.1    MacKinlay, A.C.2
  • 12
    • 80052685743 scopus 로고    scopus 로고
    • Making the most of your data: KDD-Cup 2007 "How many ratings" winner?s report
    • Rosset, S., Perlich, C. and Liu, Y. 2007. Making the most of your data: KDD-Cup 2007 "How Many Ratings" Winner?s Report. ACM SIGKDD Explorations Newsletter. 9(2).
    • (2007) ACM SIGKDD Explorations Newsletter , vol.9 , Issue.2
    • Rosset, S.1    Perlich, C.2    Liu, Y.3
  • 15
    • 0030126609 scopus 로고    scopus 로고
    • Learning in the presence of concept drift and hidden contexts
    • Widmer, G. and Kubat, M. 1996. Learning in the presence of concept drift and hidden contexts. Machine Learning. 23(1).
    • (1996) Machine Learning , vol.23 , Issue.1
    • Widmer, G.1    Kubat, M.2
  • 16
    • 78649968386 scopus 로고    scopus 로고
    • Prediction of transfers to tertiary care and hospital mortality: A gradient boosting deci-sion tree approach
    • Xie, J. and Coggeshall, S. 2010. Prediction of transfers to tertiary care and hospital mortality: A gradient boosting deci-sion tree approach. Statistical Analysis and Data Mining, 3: 253-258.
    • (2010) Statistical Analysis and Data Mining , vol.3 , pp. 253-258
    • Xie, J.1    Coggeshall, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.