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Volumn 38, Issue 4, 2011, Pages 4222-4227

Determining the optimal re-sampling strategy for a classification model with imbalanced data using design of experiments and response surface methodologies

Author keywords

Classifier; Design of experiments; Imbalanced data; Machine learning; Re sampling strategy; Response surface methodologies; The area under ROC curve

Indexed keywords

AREA UNDER ROCS; IMBALANCED DATA; MACHINE-LEARNING; RESAMPLING; RESPONSE SURFACE METHODOLOGY;

EID: 78650689032     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.09.087     Document Type: Article
Times cited : (31)

References (21)
  • 1
    • 36948999941 scopus 로고    scopus 로고
    • Irvine, CA: University of California, School of Information and Computer Science
    • Asuncion, A.; Newman, D. J. (2007). UCI machine learning repository. Irvine, CA: University of California, School of Information and Computer Science. < http://www.ics.uci.edu/∼mlearn/MLRepository.html >
    • (2007) UCI Machine Learning Repository
    • Asuncion, A.1    Newman, D.J.2
  • 4
    • 84946657020 scopus 로고
    • Some new three level designs for the study of quantitative variables
    • G.E.P. Box, and D.W. Behnken Some new three level designs for the study of quantitative variables Technometrics 2 1960 455 475
    • (1960) Technometrics , vol.2 , pp. 455-475
    • Box, G.E.P.1    Behnken, D.W.2
  • 5
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • A.P. Bradley The use of the area under the ROC curve in the evaluation of machine learning algorithms Pattern Recognition 30 1997 1145 1159
    • (1997) Pattern Recognition , vol.30 , pp. 1145-1159
    • Bradley, A.P.1
  • 6
    • 33646023117 scopus 로고    scopus 로고
    • An introduction to ROC analysis
    • T. Fawcett An introduction to ROC analysis Pattern Recognition Letters 27 8 2006 861 874
    • (2006) Pattern Recognition Letters , vol.27 , Issue.8 , pp. 861-874
    • Fawcett, T.1
  • 7
    • 0003562954 scopus 로고    scopus 로고
    • A simple generalization of the area under the ROC curve for multiple class classification problems
    • D.J. Hand, and R.J. Till A simple generalization of the area under the ROC curve for multiple class classification problems Machine Learning 45 2001 171 186
    • (2001) Machine Learning , vol.45 , pp. 171-186
    • Hand, D.J.1    Till, R.J.2
  • 8
    • 0020083498 scopus 로고
    • The meaning and the use of the area under a receiver operating characteristic (ROC) curve
    • J.A. Hanley, and B.J. McNeil The meaning and the use of the area under a receiver operating characteristic (ROC) curve Radiology 143 1982 29 36
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 10
    • 84937654251 scopus 로고
    • Applying machine learning to semiconductor manufacturing
    • K.B. Irani, J. Cheng, U.M. Fayyand, and Z. Qian Applying machine learning to semiconductor manufacturing IEEE Expert 8 1993 41 47
    • (1993) IEEE Expert , vol.8 , pp. 41-47
    • Irani, K.B.1    Cheng, J.2    Fayyand, U.M.3    Qian, Z.4
  • 11
    • 50849136827 scopus 로고    scopus 로고
    • Optimization of enzymatic degumming process for rice bran oil using response surface methodology
    • M. Jahani, M. Alizadeh, M. Pirozifard, and A. Qudsevali Optimization of enzymatic degumming process for rice bran oil using response surface methodology LWT - Food Science and Technology 41 10 2008 1892 1898
    • (2008) LWT - Food Science and Technology , vol.41 , Issue.10 , pp. 1892-1898
    • Jahani, M.1    Alizadeh, M.2    Pirozifard, M.3    Qudsevali, A.4
  • 12
    • 2242481419 scopus 로고    scopus 로고
    • Learning from imbalanced data sets: A comparison of various strategies
    • Japkowicz, N. (2000). Learning from imbalanced data sets: A comparison of various strategies. In Proceedings of learning from imbalanced data (pp. 10-15).
    • (2000) Proceedings of Learning from Imbalanced Data , pp. 10-15
    • Japkowicz, N.1
  • 13
    • 33845536164 scopus 로고    scopus 로고
    • The class imbalance problem: A systematic study
    • N. Japkowicz, and S. Stephen The class imbalance problem: A systematic study Intelligent Data Analysis 6 5 2002 429 449
    • (2002) Intelligent Data Analysis , vol.6 , Issue.5 , pp. 429-449
    • Japkowicz, N.1    Stephen, S.2
  • 17
    • 29144443664 scopus 로고    scopus 로고
    • Minority report in fraud detection: Classification of skewed data
    • C. Phua, D. Alahakoon, and V. Lee Minority report in fraud detection: Classification of skewed data ACM SIGKDD 6 2004 50 59
    • (2004) ACM SIGKDD , vol.6 , pp. 50-59
    • Phua, C.1    Alahakoon, D.2    Lee, V.3
  • 21
    • 38049141267 scopus 로고    scopus 로고
    • Development of a robust data mining method using CBFS and RSM
    • S. Shin, Y. Guo, M. Choi, and C. Kim Development of a robust data mining method using CBFS and RSM Lecture Notes in Computer Science 4378 2007 377 388
    • (2007) Lecture Notes in Computer Science , vol.4378 , pp. 377-388
    • Shin, S.1    Guo, Y.2    Choi, M.3    Kim, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.