Survey
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 2
321-329

Survey of semi-supervised feature selection methods

Zhang Dongfanga
Chen Haiyana,b
Wang Jiandonga
a. School of Computer Science & Technology, b. Collaborative Innovation Center of Novel Software Technology & Industrialization, Nanjing University of Aeronautics & Astronautics, Nanjing 211100, China
DOI: 10.19734/j.issn.1001-3695.2020.01.0001

Abstract

How to select features on semi-supervised data sets by incomplete supervisory information has become a research hotspot in the field of pattern recognition and machine learning. In order to facilitate researchers to systematically understand the research status and development trend of semi-supervised feature selection, this paper reviewed the semi-supervised feature selection methods. This paper first discussed the classification of semi-supervised feature selection methods and divided them into graph-based methods, pseudo-label-based methods, SVM-based methods and other methods according to their theoretical basis, then introduced and compared typical methods for each category, and then sorted out hot applications of semi-supervised feature selection. Finally, this paper looked forward to the future research directions of semi-supervised feature selection.

Foundation Support

中央高校基本科研业务费专项资金资助项目(NS2019054)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.01.0001
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 2
Section: Survey
Pages: 321-329
Serial Number: 1001-3695(2021)02-001-0321-09

Publish History

[2021-02-05] Printed Article

Cite This Article

张东方, 陈海燕, 王建东. 半监督特征选择综述 [J]. 计算机应用研究, 2021, 38 (2): 321-329. (Zhang Dongfang, Chen Haiyan, Wang Jiandong. Survey of semi-supervised feature selection methods [J]. Application Research of Computers, 2021, 38 (2): 321-329. )

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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