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Review of imbalanced data classification methods

Zhou Yu
Sun Hongyu
Fang Qian
Xia Hao
School of Electric Power, North China University of Water Resources & Electric Power, Zhengzhou 450045, China

Abstract

The development of society has brought countless data, with the unbalancedness becoming a significant feature of many data sets. So it has come to be a research hotspot for machine learning on how to make those unbalanced data sets obtain better effects of classification. Based on this, this paper conducted a comprehensive research on the current unbalanced data set classification method, and made an overall interpretation and conclusion from such three aspects as the unbalanced data sampling method, the method of machine learning-based improved algorithm and the combination method. It also analyzed and took into account many factors, including the problems solved by each method, algorithm mentality, application scenarios, as well as the advantages and disadvantages of each, and delivered a summary on potential problems of the classification methods and a prospect on the future research directions.

Foundation Support

河南省高等学校青年骨干教师培养计划项目(2018GGJS079)
国家自然科学基金资助项目(U1504622,31671580)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.10.0590
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 6
Section: Survey
Pages: 1615-1621
Serial Number: 1001-3695(2022)06-003-1615-07

Publish History

[2022-01-10] Accepted Paper
[2022-06-05] Printed Article

Cite This Article

周玉, 孙红玉, 房倩, 等. 不平衡数据集分类方法研究综述 [J]. 计算机应用研究, 2022, 39 (6): 1615-1621. (Zhou Yu, Sun Hongyu, Fang Qian, et al. Review of imbalanced data classification methods [J]. Application Research of Computers, 2022, 39 (6): 1615-1621. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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