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Volumn , Issue , 2003, Pages 569-572

Effectiveness of information extraction, multi-relational, and semi-supervised learning for predicting functional properties of genes

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EID: 33750224520     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (10)
  • 2
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • A. Bradley. The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition, 30(7):1145-1159, 1997.
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1145-1159
    • Bradley, A.1
  • 4
    • 78149295288 scopus 로고    scopus 로고
    • The 2002 KDD Cup competition results for gene regulation prediction
    • M. Craven. The 2002 KDD Cup competition results for gene regulation prediction. SIGKDD Explorations, 4(2), 2003.
    • SIGKDD Explorations , vol.4 , Issue.2 , pp. 2003
    • Craven, M.1
  • 7
    • 1942515438 scopus 로고    scopus 로고
    • Propositionalization Approaches to Relational Data Mining
    • Springer
    • S. Kramer, N. Lavrač, and P. A. Flach. Propositionalization Approaches to Relational Data Mining. In Relational Data Mining. Springer, 2001.
    • (2001) Relational Data Mining
    • Kramer, S.1    Lavrač, N.2    Flach, P.A.3
  • 8
    • 78149323952 scopus 로고    scopus 로고
    • Effectiveness of information extraction, multi-relational and multi-view learning for predicting gene deletion experiments
    • M.-A. Krogel and T. Scheffer. Effectiveness of information extraction, multi-relational and multi-view learning for predicting gene deletion experiments. In BIOKDD, 2003.
    • (2003) BIOKDD
    • Krogel, M.-A.1    Scheffer, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.