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Volumn 26, Issue 10, 2011, Pages 1535-1541

SVM classifier for unbalanced data based on combination of ODR and BSMOTE

Author keywords

BSMOTE; Optimization of decreasing reduction; Support vector machine; Unbalanced data

Indexed keywords

BSMOTE; CLASSIFICATION PERFORMANCE; CLASSIFICATION RESULTS; SUPPORT VECTOR; SUPPORT VECTOR MACHINE ALGORITHM; SVM ALGORITHM; SVM CLASSIFIERS; TRAINING SAMPLE; UNBALANCED DATA; UNDER-SAMPLING;

EID: 81355133944     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (16)

References (17)
  • 2
    • 0012130233 scopus 로고    scopus 로고
    • Learning goal oriented Bayesian networks for telecommunications management
    • San Fransisco: Morgan Kaufmann
    • Ezawa K J, Singh M, Norton S W. Learning goal oriented Bayesian networks for telecommunications management[C]. Proc of the 13th Int Conf on Machine Learning. San Fransisco: Morgan Kaufmann, 1996: 139-147.
    • (1996) Proc of the 13th Int Conf on Machine Learning , pp. 139-147
    • Ezawa, K.J.1    Singh, M.2    Norton, S.W.3
  • 4
    • 16644402628 scopus 로고    scopus 로고
    • Feature selection for text categorization on imbalanced data
    • Zheng Z H, Wu X Y, Srihar I R. Feature selection for text categorization on imbalanced data[J]. SIGKDD Explorations, 2004, 6(1): 80-89.
    • (2004) SIGKDD Explorations , vol.6 , Issue.1 , pp. 80-89
    • Zheng, Z.H.1    Wu, X.Y.2    Srihar, I.R.3
  • 6
    • 81355127047 scopus 로고    scopus 로고
    • Current state of research on imbalanced data sets classification learning
    • Lin Z Y, Hao Z F, Yang X W. Current state of research on imbalanced data sets classification learning[J]. Application Research of Computers, 2008, 25(2): 332-336.
    • (2008) Application Research of Computers , vol.25 , Issue.2 , pp. 332-336
    • Lin, Z.Y.1    Hao, Z.F.2    Yang, X.W.3
  • 7
    • 81355148285 scopus 로고    scopus 로고
    • The research of cost sensitive SVM supervised learning
    • Nan Jing: Institute of Education Science, Nanjing Normal University
    • Li G. The research of cost sensitive SVM supervised learning[D]. Nan Jing: Institute of Education Science, Nanjing Normal University, 2007.
    • (2007)
    • Li, G.1
  • 8
    • 33750199105 scopus 로고    scopus 로고
    • Optimal approximation of linear systems by artificial immune response
    • Gong M G, Du H F, Jiao L C. Optimal approximation of linear systems by artificial immune response[J]. Science in China, 2006, 49(1): 63-79.
    • (2006) Science in China , vol.49 , Issue.1 , pp. 63-79
    • Gong, M.G.1    Du, H.F.2    Jiao, L.C.3
  • 9
    • 33845536164 scopus 로고    scopus 로고
    • The class imbalance problem: A systematic study
    • Jo T, Japkow I N. The class imbalance problem: A systematic study[J]. Intelligent Data Analysis, 2002, 6(5): 203-231.
    • (2002) Intelligent Data Analysis , vol.6 , Issue.5 , pp. 203-231
    • Jo, T.1    Japkow, I.N.2
  • 10
    • 34047198093 scopus 로고    scopus 로고
    • Hybrid kernel machine ensemble for imbalanced data sets
    • Washington: IEEE Computer Society
    • Li P P, Chan P K, Fang W. Hybrid kernel machine ensemble for imbalanced data sets[C]. Proc of the 18th Int Conf on Pattern Recognition. Washington: IEEE Computer Society, 2006: 1108-1111.
    • (2006) Proc of the 18th Int Conf on Pattern Recognition , pp. 1108-1111
    • Li, P.P.1    Chan, P.K.2    Fang, W.3
  • 11
    • 81355148283 scopus 로고    scopus 로고
    • A survey on imbalanced data learning method
    • Zhang Q, Wu B, Wang B. A survey on imbalanced data learning method[J]. Computer Science, 2005, 32(10): 181-183.
    • (2005) Computer Science , vol.32 , Issue.10 , pp. 181-183
    • Zhang, Q.1    Wu, B.2    Wang, B.3
  • 12
    • 34547187749 scopus 로고    scopus 로고
    • Classification by ensembles from random partitions of high-dimensional data
    • Hongshik A, Hojin M, Melissaj F. Classification by ensembles from random partitions of high-dimensional data[J]. Computational Statistics and Data Analysis, 2007, 51(12): 6166-6179.
    • (2007) Computational Statistics and Data Analysis , vol.51 , Issue.12 , pp. 6166-6179
    • Hongshik, A.1    Hojin, M.2    Melissaj, F.3
  • 13
    • 72449133844 scopus 로고    scopus 로고
    • A classfication method for imbalance data set based on kernel smote
    • Zeng Z Q, Wu Q, Liao B S. A classfication method for imbalance data set based on kernel smote[J]. Acta Electronica Sinica, 2009, 39(11): 2489-2495.
    • (2009) Acta Electronica Sinica , vol.39 , Issue.11 , pp. 2489-2495
    • Zeng, Z.Q.1    Wu, Q.2    Liao, B.S.3
  • 14
    • 64149114549 scopus 로고    scopus 로고
    • SVM-based data editing for enhanced one-class classification of remotely sensed imagery
    • Xiao M S, Guo L F. SVM-based data editing for enhanced one-class classification of remotely sensed imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2008, 2(5): 189-193.
    • (2008) IEEE Geoscience and Remote Sensing Letters , vol.2 , Issue.5 , pp. 189-193
    • Xiao, M.S.1    Guo, L.F.2
  • 15
    • 0036161029 scopus 로고    scopus 로고
    • Support vector machines for classification in nonstandard situations
    • Yi L, Lee Y. Support vector machines for classification in nonstandard situations[J]. Machine Learning, 2002, 46(2): 191-202.
    • (2002) Machine Learning , vol.46 , Issue.2 , pp. 191-202
    • Yi, L.1    Lee, Y.2
  • 16
    • 22944452794 scopus 로고    scopus 로고
    • Applying support vector machines to imbalanced datasets
    • Rehan A, Stephen K, Nathalie J. Applying support vector machines to imbalanced datasets[J]. Machine Learning: ECML, 2004, 3201(12): 39-50.
    • (2004) Machine Learning: ECML , vol.3201 , Issue.12 , pp. 39-50
    • Rehan, A.1    Stephen, K.2    Nathalie, J.3
  • 17
    • 81355146145 scopus 로고    scopus 로고
    • A survey of SVM in unbalanced data sets
    • Yao C K. A survey of SVM in unbalanced data sets[J]. Computer Applications and Softwar, 2008, 29(9): 1-2.
    • (2008) Computer Applications and Softwar , vol.29 , Issue.9 , pp. 1-2
    • Yao, C.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.