Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 3
854-860

Imbalanced drift data stream classification algorithm based on incremental weight

Cai Bo1a
Zhang Haiqing1a,1b
Li Daiwei1a,1b
Xiang Xiaoming2
Yu Xi3
Deng Junyu1a
1. a. School of Software Engineering, b. Sichuan Province Informationization Application Support Software Engineering Technology Research Center, Chengdu University of Information Technology, Chengdu 610255, China
2. Sichuan Meteorological Observation & Data Center, Chengdu 610072, China
3. Stirling College, Chengdu University, Chengdu 610106, China
DOI: 10.19734/j.issn.1001-3695.2023.08.0330

Abstract

Concept drift is a difficult problem in the field of data stream learning, while the class imbalance problem existing in the data stream can seriously affect the classification performance of the algorithm. To address the joint problem of concept drift and class imbalance, this paper proposed an incremental weighted ensemble for imbalance learning(IWEIL) method for classifying unbalanced data streams by introducing an online update mechanism on the method based on the integration of data chunks, combined with the resampling and forgetting mechanism. The IWEIL method utilized a variable-size window-based forgetting mechanism to determine the classification performance of base classifiers for a number of recent instances within the window, and calculated the weights of the base classifiers. It updated each base classifier and its weight in IWEIL online as a new instance reached every time. The IWEIL used an improved adaptive nearest-neighbor SMOTE method to generate new minority class instances that conformed to the new concept to solve the class imbalance problem in the data stream. The experimental results show that compared with the DWMIL algorithm, IWEIL method improves the G-mean and recall on the synthesized HyperPlane dataset by 5.77% and 6.28% respectively, and the two metrics on the real-world Electricity dataset by 3.25% and 6.47% respectively. Finally, IWEIL has performed well in the Android app detection problem.

Foundation Support

欧盟资助项目(598649-EPP-1-2018-1-FR-EPPKA2-CBHE-JP)
国家自然科学基金资助项目(61602064)
四川省科技厅资助项目(2021YFH0107,2022YFS0544,2022NSFSC0571)
成都信息工程大学科技创新能力提升计划资助项目(KYQN202223)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.08.0330
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 3
Section: Algorithm Research & Explore
Pages: 854-860
Serial Number: 1001-3695(2024)03-031-0854-07

Publish History

[2023-10-12] Accepted Paper
[2024-03-05] Printed Article

Cite This Article

蔡博, 张海清, 李代伟, 等. 基于增量加权的不平衡漂移数据流分类算法 [J]. 计算机应用研究, 2024, 41 (3): 854-860. (Cai Bo, Zhang Haiqing, Li Daiwei, et al. Imbalanced drift data stream classification algorithm based on incremental weight [J]. Application Research of Computers, 2024, 41 (3): 854-860. )

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.

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