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Volumn , Issue , 2008, Pages

Learning in imbalanced relational data

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; PATTERN RECOGNITION; RELATIONAL DATABASE SYSTEMS;

EID: 77957947784     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761095     Document Type: Conference Paper
Times cited : (14)

References (14)
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  • 3
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    • Learning goal oriented Bayesian networks for telecommunications risk management
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  • 4
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    • Evaluating Bayesian networks' precision for detecting students' learning styles
    • P. García, A. Amandi, S. Schiaffino, and M. Campo. Evaluating Bayesian networks' precision for detecting students' learning styles. Comput. Educ., 49(3):794-808, 2007.
    • (2007) Comput. Educ. , vol.49 , Issue.3 , pp. 794-808
    • García, P.1    Amandi, A.2    Schiaffino, S.3    Campo, M.4
  • 6
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    • Using probabilistic models for selectivity estimation
    • ACM Press
    • L. Getoor, B. Taskar, and D. Koller. Using probabilistic models for selectivity estimation. In Proc. ACM SIGMOD, pages 461-472. ACM Press, 2001.
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    • Getoor, L.1    Taskar, B.2    Koller, D.3
  • 7
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    • Mining imbalanced classes in multirelational classification
    • Warsaw, Poland
    • H. Guo and H. L. Viktor. Mining imbalanced classes in multirelational classification. In Proc. 6th workshop PKDD/MRDM, Warsaw, Poland, 2007.
    • (2007) Proc. 6th Workshop PKDD/MRDM
    • Guo, H.1    Viktor, H.L.2
  • 9
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    • An approach to mining the multi-relational imbalanced database
    • C.-I. Lee, C.-J. Tsai, T.-Q. Wu, and W.-P. Yang. An approach to mining the multi-relational imbalanced database. Expert Syst. Appl., 34(4):3021-3032, 2008.
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    • Lee, C.-I.1    Tsai, C.-J.2    Wu, T.-Q.3    Yang, W.-P.4
  • 10
    • 50049095671 scopus 로고    scopus 로고
    • Shared learning experiences in a contest environment within a mobile robotics virtual laboratory
    • J. Noguez, G. Huesca, and L. E. Sucar. Shared learning experiences in a contest environment within a mobile robotics virtual laboratory. FIE, pages F3G-15-F3G-20, 2007.
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    • Noguez, J.1    Huesca, G.2    Sucar, L.E.3
  • 11
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    • Fog forecasting using self growing neural network CombNET-II- A solution for imbalanced training sets problem
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    • Cost-sensitive learning with conditional markov networks
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    • How science course performance influences student retention - A statistical investigation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.