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Volumn 2936, Issue , 2004, Pages 384-396

ROC-Based Evolutionary Learning: Application to Medical Data Mining

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CURVE FITTING; DATA MINING; EVOLUTIONARY ALGORITHMS; MEDICAL APPLICATIONS; MEDICAL COMPUTING; OPTIMIZATION; QUADRATIC PROGRAMMING; RISK ASSESSMENT; SENSITIVITY ANALYSIS; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES;

EID: 34548087763     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24621-3_31     Document Type: Article
Times cited : (19)

References (24)
  • 4
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • [Bra97]
    • [Bra97] A.P. Bradley. The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition, 1997.
    • (1997) Pattern Recognition
    • Bradley, A.P.1
  • 10
    • 0000259511 scopus 로고    scopus 로고
    • Approximate statistical tests for comparing supervised classification learning algorithms
    • [Die98]
    • [Die98] T.G. Dietterich. Approximate statistical tests for comparing supervised classification learning algorithms. Neural Computation, 1998.
    • (1998) Neural Computation
    • Dietterich, T.G.1
  • 11
    • 0002106691 scopus 로고    scopus 로고
    • Meta-cost: A general method for making classifiers cost sensitive
    • [Dom99] pages 155-164. Morgan Kaufmann
    • [Dom99] P. Domingos. Meta-cost: A general method for making classifiers cost sensitive. In Knowledge Discovery from Databases, pages 155-164. Morgan Kaufmann, 1999.
    • (1999) Knowledge Discovery from Databases
    • Domingos, P.1
  • 14
    • 1942421135 scopus 로고    scopus 로고
    • The geometry of ROC space: Understanding machine learning metrics through ROC isometrics
    • [Fla03] Morgan Kaufmann
    • th Int. Conf. on Machine Learning. Morgan Kaufmann, 2003.
    • (2003) th Int. Conf. on Machine Learning
    • Flach, P.1
  • 16
    • 35048902335 scopus 로고    scopus 로고
    • Atherosclerosis risk identification and visual analysis
    • [LAS02]
    • [LAS02] N. Lucas, J. Azé, and M. Sebag. Atherosclerosis risk identification and visual analysis. In Discovery Challenge ECML-PKDD 2002. http://lisp.vse.cz/challenge/ecmlpkdd2002/, 2002.
    • (2002) Discovery Challenge ECML-PKDD 2002
    • Lucas, N.1    Azé, J.2    Sebag, M.3
  • 23
    • 84880684128 scopus 로고    scopus 로고
    • An assessment of submissions made to the Predictive Toxicology Evaluation Challenge
    • [SKB99] IJCAI'99, Morgan Kaufmann
    • [SKB99] A. Srinivasan, R.D. King, and D.W. Bristol. An assessment of submissions made to the Predictive Toxicology Evaluation Challenge. In Proc. of Int. Joint Conf. on Artificial Intelligence, IJCAI'99, pages 270-275. Morgan Kaufmann, 1999.
    • (1999) Proc. of Int. Joint Conf. on Artificial Intelligence , pp. 270-275
    • Srinivasan, A.1    King, R.D.2    Bristol, D.W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.