Survey
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 7
1921-1929

Overview of data stream ensemble classification based on supervised and semi-supervised learning

Li Xiaojuan
Han Meng
Wang Le
Zhang Ni
Cheng Haodong
School of Computer Science & Engineering, North Minzu University, Yinchuan 750021, China
DOI: 10.19734/j.issn.1001-3695.2020.09.0351

Abstract

It is a very meaningful direction to study data stream ensemble classification based on the condition of supervised or semi-supervised learning. This paper introduced three aspects including base classifiers, key technologies and ensemble strategies. The base classifiers mainly introduced decision trees, neural networks, support vector machines, etc. The key technologies were introduced from incremental and online aspects, and the ensemble strategies mainly introduced boosting, stacking, etc. This paper summarized and analyzed the advantages and disadvantages of different ensemble methods, comparison algorithms and experimental data sets. Finally, it gave the further research directions, including the handling of concept drift based on supervised and semi-supervised learning, the study of homogeneous integration and heterogeneous integration, and the classification of data stream ensemble based on unsupervised learning.

Foundation Support

国家自然科学基金资助项目(62062004)
宁夏自然科学基金资助项目(2020AAC03216)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.09.0351
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 7
Section: Survey
Pages: 1921-1929
Serial Number: 1001-3695(2021)07-001-1921-09

Publish History

[2021-07-05] Printed Article

Cite This Article

李小娟, 韩萌, 王乐, 等. 监督与半监督学习下的数据流集成分类综述 [J]. 计算机应用研究, 2021, 38 (7): 1921-1929. (Li Xiaojuan, Han Meng, Wang Le, et al. Overview of data stream ensemble classification based on supervised and semi-supervised learning [J]. Application Research of Computers, 2021, 38 (7): 1921-1929. )

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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