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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 7
2045-2052,2059

Multi-perspective alignment between batch traces of event log and process model

Sun Jinyong1
Deng Wenwei1
Xu Qian1
Sun Zhigang2
1. Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
2. School of Computer Science & Engineering, Guangxi Normal University, Guilin Guangxi 541004, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0788

Abstract

In the consistency detection of business process discovery research, existing methods of multi-perspective alignment between event logs and process models can only obtain the optimal alignment of one trace with the process model at a time. Meanwhile the computation of heuristic function in obtaining the optimal alignment is complex, leading to low computation efficiency. To solve above problems, the paper proposed a multi-perspective alignment between batch traces of event log and process model based on trace minimum edit distance. Firstly, the study selected multiple traces in the event log to form batch traces, and used a process mining algorithm to obtain the log model of the batch traces. Then it obtained the product model of log model and process model and their transition system, which was the search space of batch traces. Then it designed a heuristic function based on the minimum edit distance between Petri net transition's sequence set and the remaining traces to speed up the A* algorithm. Finally, the study designed a multi-perspective cost function that could adjust the weight of data and resource perspectives, and proposed a method of multi-perspective optimal alignment between each trace in the batch traces and the process model with the transition system of the product model. Compared with existing work, the simulation results show the proposed method takes up less memory space and uses less running time. This method improves the computation speed of heuristic function for optimal alignment, and obtains all optimal alignments of batch traces at one time, thus improves the efficiency of multi-perspective alignment between event logs and process models.

Foundation Support

国家自然科学基金资助项目(61862016,61961007,62066010,62006058)
广西自然科学基金资助项目(2020GXNSFAA159055)
广西可信软件重点实验室(KX202205)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0788
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 7
Section: Algorithm Research & Explore
Pages: 2045-2052,2059
Serial Number: 1001-3695(2023)07-019-2045-08

Publish History

[2023-02-28] Accepted Paper
[2023-07-05] Printed Article

Cite This Article

孙晋永, 邓文伟, 许乾, 等. 事件日志的批量迹与过程模型的多视角对齐方法 [J]. 计算机应用研究, 2023, 40 (7): 2045-2052,2059. (Sun Jinyong, Deng Wenwei, Xu Qian, et al. Multi-perspective alignment between batch traces of event log and process model [J]. Application Research of Computers, 2023, 40 (7): 2045-2052,2059. )

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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