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Volumn 1, Issue , 2005, Pages 537-541

An over-sampling expert system for learning from imbalanced data sets

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; DATA STRUCTURES; LEARNING SYSTEMS; PROBLEM SOLVING; SAMPLING;

EID: 33847143669     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (15)
  • 1
    • 33847174110 scopus 로고    scopus 로고
    • N. Japkowicz, Learning from imbalanced data sets: A comparison of various strategies. Learning from imbalanced data sets: The AAAI Workshop 10-15. Menlo Park, CA: AAAI Press, Technical Report WS-00-05, 2000. 2.
    • N. Japkowicz, Learning from imbalanced data sets: A comparison of various strategies. Learning from imbalanced data sets: The AAAI Workshop 10-15. Menlo Park, CA: AAAI Press, Technical Report WS-00-05, 2000. 2.
  • 2
    • 84947918649 scopus 로고    scopus 로고
    • Learning when negative examples abound
    • Machine LearningECML-97, Springer
    • M. Kubat, R. Holte, and S. Matwin, Learning when negative examples abound. Machine LearningECML-97, Lecture Notes in Artificial Intelligence 1224, pages 146153, Springer1997.
    • (1997) Lecture Notes in Artificial Intelligence , vol.1224 , pp. 146153
    • Kubat, M.1    Holte, R.2    Matwin, S.3
  • 5
    • 9444297357 scopus 로고    scopus 로고
    • N. Chawla, A. Lazarevic, L. O. Hall, K. Bowyer, SMOTEBoost: Improving Prediction of the Minority Class in Boosting, In 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, Pages 107-119, September 22-26, 2003
    • N. Chawla, A. Lazarevic, L. O. Hall, K. Bowyer, SMOTEBoost: Improving Prediction of the Minority Class in Boosting, In 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, Pages 107-119, September 22-26, 2003
  • 6
    • 33847109716 scopus 로고    scopus 로고
    • R. Akbani, S. Kwek, and N. Japkowicz, Applying Support Vector Machines to Imbalanced Datasets, Machine LearningECML-2004, 2004.
    • R. Akbani, S. Kwek, and N. Japkowicz, Applying Support Vector Machines to Imbalanced Datasets, Machine LearningECML-2004, 2004.
  • 8
    • 1442356040 scopus 로고    scopus 로고
    • A Multiple Resampling Method for Learning from imbalanced datasets
    • T. Jo and N. Japkowicz, A Multiple Resampling Method for Learning from imbalanced datasets, Computational Intelligence, Volume 20, Number 1, 2004.
    • (2004) Computational Intelligence , vol.20 , Issue.1
    • Jo, T.1    Japkowicz, N.2
  • 10
    • 0003408496 scopus 로고    scopus 로고
    • Department of Information and Computer Sciences, University of California, Irvine
    • C. Blake and C. Merz, UCI Repository of Machine Learning Databases, http://www.ics.uci.edu/ mlearn/ MLRepository.html, Department of Information and Computer Sciences, University of California, Irvine, 1998.
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.1    Merz, C.2
  • 11
    • 33847114768 scopus 로고    scopus 로고
    • ELENA project, ftp.dice.ucl.ac.be in directory pub/neuralnets/ELENA/ databases
    • ELENA project, ftp.dice.ucl.ac.be in directory pub/neuralnets/ELENA/ databases
  • 13
    • 9444297357 scopus 로고    scopus 로고
    • N. Chawlal, A. Lazarevic, L. O. Hall, K. Bowyer, SMOTEBoost: Improving Prediction of the Minority Class in Boosting, In 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, Pages 107-119, September 22-26, 2003
    • N. Chawlal, A. Lazarevic, L. O. Hall, K. Bowyer, SMOTEBoost: Improving Prediction of the Minority Class in Boosting, In 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, Pages 107-119, September 22-26, 2003
  • 14
  • 15
    • 1442275185 scopus 로고    scopus 로고
    • Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
    • G. M. Weiss and F. Provost, Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction, JAIR 19, 315-354,2003.
    • (2003) JAIR , vol.19 , pp. 315-354
    • Weiss, G.M.1    Provost, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.