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Journal of Frontiers of Computer Science and Technology. 2024, (05) Core

Survey of Research on SMOTE Type AlgorithmsChinese Full TextEnglish Full Text (MT)

WANG Xiaoxia;LI Leixiao;LIN Hao;College of Data Science and Application, Inner Mongolia University of Technology;Inner Mongolia Autonomous Region Software Service Engineering Technology Research Center Based on BigData;College of Computer Science and Engineering, Tianjin University of Technology;

Abstract: Synthetic minority oversampling technique（SMOTE） has become one of the mainstream methods for dealing with unbalanced data due to its ability to effectively deal with minority samples, and many SMOTE improvement algorithms have been proposed, but very little research existing considers popular algorithmic-level improvement methods. Therefore a more comprehensive analysis of existing SMOTE class algorithms is provided.Firstly, the basic principles of the SMOTE method are elaborated in detail, and... More
Keywords：

unbalanced data; synthetic minority oversampling technique（SMOTE）; oversampling; supervised learning;

  • Series：

    (I) Electronic Technology ＆ Information Science

  • Subject：

    Computer Software and Application of Computer; Automation Technology

  • Classification Code：

    TP311.13;TP18

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