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A Comprehensive Integration Method Based on Unbalanced Data Classification Problems

Journal of physics. Conference series, 2018-07, Vol.1060 (1), p.12032 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1060/1/012032

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  • Title:
    A Comprehensive Integration Method Based on Unbalanced Data Classification Problems
  • Author: Lian, Yu ; Zhang, Di ; Lin, Zhengkui ; Sun, XueHao ; Yu, WenLi
  • Subjects: Classification ; Classifiers
  • Is Part Of: Journal of physics. Conference series, 2018-07, Vol.1060 (1), p.12032
  • Description: This paper first introduces the characteristics of non-equilibrium data and the main problems brought by its classification. Based on this, it proposes a comprehensive integration method based on non-equilibrium data classification problems, and the method improvement background and strategy. The construction of base classifiers, and the selective integration methods of base classifiers are described in detail. Finally, the method proposed in this chapter is verified by experiments. The experimental results show that the proposed method is effective.
  • Publisher: Bristol: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1742-6588
    EISSN: 1742-6596
    DOI: 10.1088/1742-6596/1060/1/012032
  • Source: Open Access: IOP Publishing Free Content
    Geneva Foundation Free Medical Journals at publisher websites
    AUTh Library subscriptions: ProQuest Central
    IOPscience (Open Access)
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