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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 2
515-520

Multi perspective event log repair based on BERT

Zhang Zhenhua
Wang Lilia,b,c
Yuan Yongwanga
a. College of Mathematics & Big Data, b. State Key Laboratory of Mining Response & Disaster Prevention & Control in Deep Coal Mines, c. Anhui Province Engineering Laboratory for Big Data Analysis & Early Warning Technology of Coal Mine Safety, Anhui University of Science & Technology, Huainan Anhui 232001, China
DOI: 10.19734/j.issn.1001-3695.2023.06.0253

Abstract

During the execution of business processes, data loss in event logs due to information system failures or manual recording errors and so on, resulting in the generation of the missing event logs, the use of such missing logs can seriously affect the quality of business process analysis results. Aiming at the problem of repairing missing logs, most of the existing research focus on data or behavioral perspective, and there is little work on repairing events log from the perspective of integrating data and behavior. Therefore, this paper proposed a multi-perspective event log repair method based on the BERT model. This method trained the model using a two-layer BERT model from the perspective of data and behavior fusion, and captured the bidirectional semantic information and long-term dependencies of input attributes by the BERT model's pre-training tasks(masked attribute model(MAM) and masked event model(MEM) ) and the attention mechanism of the Transformer encoding block. Then it used fine-tuning strategies for training the model to repair missing values in the event log in a predictive manner. Finally, it carried out evaluation and analysis on publicly available datasets, and the results showed that the proposed method performs well in repairing event logs.

Foundation Support

安徽理工大学高层次引进人才科研启动基金资助项目(2022yjrc87)
安徽省煤矿安全大数据分析与预警技术工程实验室开放基金资助项目(CSBD2022-ZD03)
深部煤矿采动响应与灾害防控国家重点实验室开放基金资助项目(SKLMRDPC22KF12)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.06.0253
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 2
Section: System Development & Application
Pages: 515-520
Serial Number: 1001-3695(2024)02-029-0515-06

Publish History

[2023-08-11] Accepted Paper
[2024-02-05] Printed Article

Cite This Article

张振虎, 王丽丽, 袁永旺. 基于BERT的多视角事件日志修复 [J]. 计算机应用研究, 2024, 41 (2): 515-520. (Zhang Zhenhu, Wang Lili, Yuan Yongwang. Multi perspective event log repair based on BERT [J]. Application Research of Computers, 2024, 41 (2): 515-520. )

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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