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Volumn , Issue , 2009, Pages 57-75

Cost-sensitive learning in medicine

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EID: 80955146219     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-60566-218-3.ch003     Document Type: Chapter
Times cited : (4)

References (45)
  • 1
    • 0033164667 scopus 로고    scopus 로고
    • Comparing classifiers when the misallocation costs are uncertain
    • Adams, N. M., & Hand, D. J. (1999). Comparing classifiers when the misallocation costs are uncertain. Pattern Recognition, 32(7), 1139-1147.
    • (1999) Pattern Recognition , vol.32 , Issue.7 , pp. 1139-1147
    • Adams, N.M.1    Hand, D.J.2
  • 3
    • 37249089420 scopus 로고    scopus 로고
    • Predictive data mining in clinical medicine: Current issues and guidelines
    • Bellazzi, R., & Zupan, B. (2008). Predictive data mining in clinical medicine: Current issues and guidelines. International Journal of Medical Informatics, 77(2), 81-97.
    • (2008) International Journal of Medical Informatics , vol.77 , Issue.2 , pp. 81-97
    • Bellazzi, R.1    Zupan, B.2
  • 9
    • 33748991193 scopus 로고    scopus 로고
    • Cost curves: An improved method for visualizing classifier performance
    • Drummond, C., & Holte, R. C. (2006). Cost curves: An improved method for visualizing classifier performance. Machine Learning, 65, 95-130.
    • (2006) Machine Learning , vol.65 , pp. 95-130
    • Drummond, C.1    Holte, R.C.2
  • 10
    • 0034971462 scopus 로고    scopus 로고
    • How to develop cost-conscious guidelines
    • Eccles, M., & Mason, J. (2001). How to develop cost-conscious guidelines. Health Technology Assessment, 5(16), 1-69.
    • (2001) Health Technology Assessment , vol.5 , Issue.16 , pp. 1-69
    • Eccles, M.1    Mason, J.2
  • 16
    • 0036680338 scopus 로고    scopus 로고
    • Learning cost-sensitive active classifiers
    • Greiner, R., Grove, A. J., & Roth, D. (2002). Learning cost-sensitive active classifiers. Artificial Intelligence, 139(2), 137-174.
    • (2002) Artificial Intelligence , vol.139 , Issue.2 , pp. 137-174
    • Greiner, R.1    Grove, A.J.2    Roth, D.3
  • 18
    • 0003562954 scopus 로고    scopus 로고
    • A simple generalisation of the area under the roc curve for multiple class classification problems
    • Hand, D. J., & Till, R. J. (2001). A simple generalisation of the area under the ROC curve for multiple class classification problems. Machine Learning, 45, 171-186.
    • (2001) Machine Learning , vol.45 , pp. 171-186
    • Hand, D.J.1    Till, R.J.2
  • 19
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (roc) curve
    • Hanley, J. A., & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143(1), 29-36.
    • (1982) Radiology , vol.143 , Issue.1 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 21
    • 33845536164 scopus 로고    scopus 로고
    • The class imbalance problem: A systematic study
    • Japkowicz, N., & Stephen, S. (2002). The class imbalance problem: A systematic study. Intelligent Data Analysis, 6(5), 429-449.
    • (2002) Intelligent Data Analysis , vol.6 , Issue.5 , pp. 429-449
    • Japkowicz, N.1    Stephen, S.2
  • 23
    • 0032895111 scopus 로고    scopus 로고
    • Selected techniques for data mining in medicine
    • Lavrac, N. (1999). Selected techniques for data mining in medicine. Artificial Intelligence in Medicine, 16, 3-23.
    • (1999) Artificial Intelligence in Medicine , vol.16 , pp. 3-23
    • Lavrac, N.1
  • 32
    • 0026154832 scopus 로고
    • The use of background knowledge in decision tree induction
    • Núñez, M. (1991). The use of background knowledge in decision tree induction. Machine Learning, 6, 231-250.
    • (1991) Machine Learning , vol.6 , pp. 231-250
    • Núñez, M.1
  • 33
    • 0035283313 scopus 로고    scopus 로고
    • Robust classification for imprecise environments
    • Provost, F., & Fawcett, T. (2001). Robust classification for imprecise environments. Machine Learning, 42(3), 203-231.
    • (2001) Machine Learning , vol.42 , Issue.3 , pp. 203-231
    • Provost, F.1    Fawcett, T.2
  • 38
    • 0036565589 scopus 로고    scopus 로고
    • An instance-weighting method to induce cost-sensitive trees
    • Ting, K. M. (2002). An Instance-Weighting Method to Induce Cost-Sensitive Trees. IEEE Transactions on Knowledge and Data Engineering, 14(3), 659-665.
    • (2002) IEEE Transactions on Knowledge and Data Engineering , vol.14 , Issue.3 , pp. 659-665
    • Ting, K.M.1
  • 39
    • 0000865580 scopus 로고
    • Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm
    • Turney, P. (1995). Cost-sensitive classification: empirical evaluation of a hybrid genetic decision tree induction algorithm. Journal of Artificial Intelligence Research, 2, 369-409.
    • (1995) Journal of Artificial Intelligence Research , vol.2 , pp. 369-409
    • Turney, P.1
  • 42
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Yang, Y. (1999). An evaluation of statistical approaches to text categorization. Information Retrieval, 1(1-2), 69-90.
    • (1999) Information Retrieval , vol.1 , Issue.1-2 , pp. 69-90
    • Yang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.