메뉴 건너뛰기




Volumn 25, Issue 10, 2013, Pages 2356-2366

Ranking instances by maximizing the area under ROC curve

Author keywords

data mining; decision support; machine learning; Ranking

Indexed keywords

AREA UNDER ROC CURVE (AUC); AREA UNDER THE ROC CURVE; CATEGORICAL FEATURES; DECISION SUPPORTS; MACHINE LEARNING LITERATURE; RANKING; REAL-VALUED FUNCTIONS; STATE-OF-THE-ART ALGORITHMS;

EID: 84883298128     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2012.214     Document Type: Article
Times cited : (48)

References (51)
  • 5
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • PII S0031320396001422
    • A.P. Bradley, "The Use of the Area under the ROC Curve in the Evaluation of Machine Learning Algorithms," Pattern Recognition, vol. 30, no. 7, pp. 1145-1159, 1997. (Pubitemid 127406521)
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1145-1159
    • Bradley, A.P.1
  • 6
    • 12144252702 scopus 로고    scopus 로고
    • Handbook of heavy-tailed distributions in Finance
    • S.T. Rachev, ed Elsevier
    • B.O. Bradley and M.S. Taqqu, "Handbook of Heavy-Tailed Distributions in Finance," Financial Risk and Heavy Tails, S.T. Rachev, ed., pp. 35-103, Elsevier, 2003.
    • (2003) Financial Risk and Heavy Tails , pp. 35-103
    • Bradley, B.O.1    Taqqu, M.S.2
  • 14
    • 39549093148 scopus 로고    scopus 로고
    • General cardiovascular risk profile for use in primary care: The framingham heart study
    • R.B. D'Agostino, S.V. Ramachandran, and J. Pencina, "General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study," Circulation, vol. 17, pp. 743-753, 2008.
    • (2008) Circulation , vol.17 , pp. 743-753
    • D'Agostino, R.B.1    Ramachandran, S.V.2    Pencina, J.3
  • 17
    • 33744788678 scopus 로고    scopus 로고
    • After VaR: The theory, estimation, and insurance applications of quantile-based risk measures
    • DOI 10.1111/j.1539-6975.2006.00171.x
    • K. Dowd and D. Blake, "After VaR: The Theory, Estimation, and Insurance Applications of Quantile-Based Risk Measures," The J. Risk and Insurance, vol. 73, no. 2, pp. 193-229, 2006. (Pubitemid 43830050)
    • (2006) Journal of Risk and Insurance , vol.73 , Issue.2 , pp. 193-229
    • Dowd, K.1    Blake, D.2
  • 18
    • 2142754477 scopus 로고    scopus 로고
    • Discovery of context-specific ranking functions for effective information retrieval using genetic programming
    • Apr
    • W. Fan, M.D. Gordon, and P. Pathak, "Discovery of Context-Specific Ranking Functions for Effective Information Retrieval Using Genetic Programming," IEEE Trans. Knowledge and Data Eng., vol. 16, no. 4, pp. 523-27, Apr. 2004.
    • (2004) IEEE Trans. Knowledge and Data Eng , vol.16 , Issue.4 , pp. 523-527
    • Fan, W.1    Gordon, M.D.2    Pathak, P.3
  • 19
    • 0003024008 scopus 로고
    • On the handling of continuous-valued attributes in decision tree generation
    • U. Fayyad and K. Irani, "On the Handling of Continuous-Valued Attributes in Decision Tree Generation," Machine Learning, vol. 8, pp. 87-102, 1992.
    • (1992) Machine Learning , vol.8 , pp. 87-102
    • Fayyad, U.1    Irani, K.2
  • 22
    • 33646023117 scopus 로고    scopus 로고
    • An introduction to ROC analysis
    • T. Fawcett, "An Introduction to ROC Analysis," Pattern Recognition Letters, vol. 27, pp. 861-874, 2006.
    • (2006) Pattern Recognition Letters , vol.27 , pp. 861-874
    • Fawcett, T.1
  • 25
    • 78649934709 scopus 로고    scopus 로고
    • School of Information and Computer Science, Univ. of California
    • A. Frank and A. Asuncion, "UCI Machine Learning Repository," School of Information and Computer Science, Univ. of California, http://archive.ics.uci.edu/ml, 2010.
    • (2010) UCI Machine Learning Repository
    • Frank, A.1    Asuncion, A.2
  • 27
    • 0030130153 scopus 로고    scopus 로고
    • Classification by feature partitioning
    • H.A. Gü venir and-I. Ş irin, "Classification by Feature Partitioning," Machine Learning, vol. 23, no. 1, pp. 47-67, 1996. (Pubitemid 126737383)
    • (1996) Machine Learning , vol.23 , Issue.1 , pp. 47-67
    • Guvenir, H.A.1
  • 29
    • 77649231232 scopus 로고    scopus 로고
    • AUC maximization linear classifier based on active learning and its application
    • G. Han and C. Zhao, "AUC Maximization Linear Classifier Based on Active Learning and Its Application," Neurocomputing, vol. 73, nos. 7-9, pp. 1272-1280, 2010.
    • (2010) Neurocomputing , vol.73 , Issue.7-9 , pp. 1272-1280
    • Han, G.1    Zhao, C.2
  • 30
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (ROC) curve
    • J.A. Hanley and B.J. McNeil, "The Meaning and use of the Area under a Receiver Operating Characteristic (ROC) Curve," Radiology, vol. 143, pp. 29-36, 1982. (Pubitemid 12142173)
    • (1982) Radiology , vol.143 , Issue.1 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 31
    • 31844432092 scopus 로고    scopus 로고
    • Optimising the area under the ROC curve using gradient descent
    • A. Herschtal and B. Raskutti, "Optimising the Area under the ROC Curve Using Gradient Descent," Proc. Int'l Conf. Machine Learning, pp. 49-56, 2004.
    • (2004) Proc. Int'l Conf. Machine Learning , pp. 49-56
    • Herschtal, A.1    Raskutti, B.2
  • 32
    • 0027580356 scopus 로고
    • Very simple classification rules perform well on most commonly used data sets
    • R.C. Holte, "Very Simple Classification Rules Perform Well on Most Commonly Used Data Sets," Machine Learning, vol. 11, pp. 63-91, 1993.
    • (1993) Machine Learning , vol.11 , pp. 63-91
    • Holte, R.C.1
  • 33
    • 14644390912 scopus 로고    scopus 로고
    • Using AUC and accuracy in evaluating learning algorithms
    • DOI 10.1109/TKDE.2005.50
    • J. Huang and C.X. Ling, "Using AUC and Accuracy in Evaluating Learning Algorithms," IEEE Trans. Knowledge and Data Eng., vol. 17, no. 3, pp. 299-310, Mar. 2005. (Pubitemid 40320164)
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.3 , pp. 299-310
    • Huang, J.1    Ling, C.X.2
  • 37
    • 33646590655 scopus 로고    scopus 로고
    • Exploiting AUC for optimal linear combinations of dichotomizers
    • C. Marrocco, M. Molinara, and F. Tortorella, "Exploiting AUC for Optimal Linear Combinations of Dichotomizers," Pattern Recognition Letters, vol. 27, no. 8, pp. 900-907, 2006.
    • (2006) Pattern Recognition Letters , vol.27 , Issue.8 , pp. 900-907
    • Marrocco, C.1    Molinara, M.2    Tortorella, F.3
  • 38
    • 39149090650 scopus 로고    scopus 로고
    • Maximizing the area under the ROC curve by pairwise feature combination
    • C. Marrocco, R.P.W. Duin, and F. Tortorella, "Maximizing the Area under the ROC Curve by Pairwise Feature Combination," Pattern Recognition, vol. 41, pp. 1961-1974, 2008.
    • (2008) Pattern Recognition , vol.41 , pp. 1961-1974
    • Marrocco, C.1    Duin, R.P.W.2    Tortorella, F.3
  • 41
    • 85101511266 scopus 로고    scopus 로고
    • Analysis and visualization of classifier performance: Comparison under imprecise class and cost distributions
    • F. Provost and T. Fawcett, "Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions," Proc. Third Int'l Conf. Knowledge Discovery and Data Mining, pp. 43-48, 1997.
    • (1997) Proc. Third Int'l Conf. Knowledge Discovery and Data Mining , pp. 43-48
    • Provost, F.1    Fawcett, T.2
  • 44
    • 34548087763 scopus 로고    scopus 로고
    • ROC-based evolutionary learning: Application to medical data mining
    • M. Sebag, J. Aze, and N. Lucas, "ROC-Based Evolutionary Learning: Application to Medical Data Mining," Artificial Evolution, vol. 2936, pp. 384-396, 2004.
    • (2004) Artificial Evolution , vol.2936 , pp. 384-396
    • Sebag, M.1    Aze, J.2    Lucas, N.3
  • 45
    • 34147184213 scopus 로고    scopus 로고
    • Linear model combining by optimizing the Area under the ROC curve
    • DOI 10.1109/ICPR.2006.766, 1699796, Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006
    • D.J.M. Tax, R.P.W. Duin, and Y. Arzhaeva, "Linear Model Combining by Optimizing the Area under the ROC Curve," Proc. IEEE 18th Int'l Conf. Pattern Recognition, pp. 119-122, 2006. (Pubitemid 46553377)
    • (2006) Proceedings - International Conference on Pattern Recognition , vol.4 , pp. 119-122
    • Tax, D.M.J.1    Duin, R.P.W.2    Arzhaeva, Y.3
  • 46
    • 48149091075 scopus 로고    scopus 로고
    • Maximizing area under ROC curve for biometric scores fusion
    • K.A. Toh, J. Kim, and S. Lee, "Maximizing Area under ROC Curve for Biometric Scores Fusion," Pattern Recognition, vol. 41, pp. 3373-3392, 2008.
    • (2008) Pattern Recognition , vol.41 , pp. 3373-3392
    • Toh, K.A.1    Kim, J.2    Lee, S.3
  • 47
    • 78651543795 scopus 로고    scopus 로고
    • Cost-sensitive support vector ranking for information retrieval
    • F. Wang and X. Chang, "Cost-Sensitive Support Vector Ranking for Information Retrieval," J. Convergence Information Technology, vol. 5, no. 10, pp. 109-116, 2010.
    • (2010) J. Convergence Information Technology , vol.5 , Issue.10 , pp. 109-116
    • Wang, F.1    Chang, X.2
  • 48
    • 77956023732 scopus 로고    scopus 로고
    • Combating the small sample class imbalance problem using feature selection
    • Oct.
    • M. Wasikowski and X. Chen, "Combating the Small Sample Class Imbalance Problem Using Feature Selection," IEEE Trans. Knowledge Discovery and Data Eng., vol. 22, no. 10, pp. 1388-1400, Oct. 2010.
    • (2010) IEEE Trans. Knowledge Discovery and Data Eng , vol.22 , Issue.10 , pp. 1388-1400
    • Wasikowski, M.1    Chen, X.2
  • 49
    • 0001884644 scopus 로고
    • Individual comparisons by ranking methods
    • F. Wilcoxon, "Individual Comparisons by Ranking Methods," Biometrics, vol. 1, pp. 80-83, 1945.
    • (1945) Biometrics , vol.1 , pp. 80-83
    • Wilcoxon, F.1
  • 50
    • 51349159085 scopus 로고    scopus 로고
    • Probability estimates for multi-class classification by pairwise coupling
    • T.-F. Wu, C.-J. Lin, and W.C. Wen, "Probability Estimates for Multi-Class Classification by Pairwise Coupling," J. Machine Learning Research, vol. 5, pp. 975-1005, 2004.
    • (2004) J. Machine Learning Research , vol.5 , pp. 975-1005
    • Wu, T.-F.1    Lin, C.-J.2    Wen, W.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.