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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 1
88-93

Generalized isolation forest anomaly detection algorithm based on expert feedback

Zhu Chengyong
Huang Pengxiang
Li Limin
College of Electrical & Electronic Engineering, Wenzhou University, Wenzhou Zhejiang 325035, China
DOI: 10.19734/j.issn.1001-3695.2023.05.0182

Abstract

Aiming at the problem that the isolation forest algorithm cannot detect local anomalies parallel to the axes and the tree structure is unable to be dynamically updated, this paper proposed a generalized isolation forest anomaly detection algorithm based on expert feedback. Firstly, it projected the data to the sampled normal unit vector, and selected a split point from the mapping area to divide the data space, then repeated these operations until constructed a generalized isolation tree. Secondly, it introduced the weights of the leaf nodes of each tree in the generalized isolation forest, which comprehensively considered the influence of the number of subspace partitions and the sample size in the subspace on anomaly scores. Finally, it calculated the weighted anomaly scores of each data, and submitted data with high anomaly scores to expert for batch labeling, then the algorithm updated the weights of the leaf nodes according to the labeling results, so as to dynamically adjust the structure of the generalized isolation tree. The experimental results show that the numbers of real abnormal data are marked by expert in 7 datasets are better than that of the other tree-based anomaly detection algorithms, and the average precision in 12 datasets are 38.952%, 49.144% and 49.144% higher than isolation forest, extended isolation forest, generalized isolation forest, respectively.

Foundation Support

国家自然科学基金面上项目(61972288)
浙江省教育厅科研项目(Y202146796)
温州市重大科技创新攻关项目(ZG2021029)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.05.0182
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 1
Section: Algorithm Research & Explore
Pages: 88-93
Serial Number: 1001-3695(2024)01-014-0088-06

Publish History

[2023-07-14] Accepted Paper
[2024-01-05] Printed Article

Cite This Article

祝诚勇, 黄鹏翔, 李理敏. 基于专家反馈的广义孤立森林异常检测算法 [J]. 计算机应用研究, 2024, 41 (1): 88-93. (Zhu Chengyong, Huang Pengxiang, Li Limin. Generalized isolation forest anomaly detection algorithm based on expert feedback [J]. Application Research of Computers, 2024, 41 (1): 88-93. )

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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