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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 6
1872-1878

Approximate consistency method for constructing behavior subsets based on log clustering

Wang Lili
Xiang Xiaoyang
Fang Xianwen
College of Mathematics & Big Data, Anhui University of Science & Technology, Huainan Anhui 232001, China
DOI: 10.19734/j.issn.1001-3695.2021.08.0432

Abstract

According to the behavior subset, it is able to obtain the approximate consistency between the event log and the process model. However, it obtains small behavior difference between the log candidate traces through the existing methods, which causes some influence on the representativeness of the behavior subset, thus leading to the low accuracy of the approximate consistency. In view of this problem, this paper proposed an approximate consistency method using clustering technology to preprocess event logs for the construction of behavior subsets. Firstly, it clustered the traces with high behavioral similarity in the event log into several sub-logs according to the Levenshtein editing distance between traces. Then, it traversed each sub log, which selected the representative traces in the sub logs by using the methods of high frequency in the cluster and cluster center to form a set of candidate traces. Furthermore, it took advantage of the optimal alignment technique to construct the behavior subset of the model, which calculated the degree of fit with the complete event log to get the approximate consistency and its upper and lower bounds. Finally, it carried out the simulation experiment of real event log, which verified the superio-rity of this method from two aspects of accuracy and time efficiency.

Foundation Support

国家自然科学基金资助项目(61572035,61402011)
安徽省高校优秀人才支持计划资助项目(gxyqZD2020020)
安徽省高校领军骨干人才项目(2020-1-12)
安徽省学术和技术带头人资助项目(2019H239)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.08.0432
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 6
Section: Technology of Information Security
Pages: 1872-1878
Serial Number: 1001-3695(2022)06-047-1872-07

Publish History

[2021-12-15] Accepted Paper
[2022-06-05] Printed Article

Cite This Article

王丽丽, 向小阳, 方贤文. 基于日志聚类构造行为子集的近似一致性方法 [J]. 计算机应用研究, 2022, 39 (6): 1872-1878. (Wang Lili, Xiang Xiaoyang, Fang Xianwen. Approximate consistency method for constructing behavior subsets based on log clustering [J]. Application Research of Computers, 2022, 39 (6): 1872-1878. )

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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