App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 12

Event log semantic repair method driven by process consistency

Su Junxiang1
Fang Xianwen1,2
Fang Na1
1. College of Mathematics & Big Data, Anhui University of Science & Technology, Huainan Anhui 232001, China
2. Anhui Province Engineering Laboratory for Big Data Analysis & Early Warning Technology of Coal Mine Safety, Huainan Anhui 232001, China
DOI: 10.19734/j.issn.1001-3695.2026.04.0099

Abstract

Incomplete and noisy event logs frequently arose from system failures, human errors, or missing records. These problems caused discovered process models to deviate from real business processes and disrupted semantic dependencies. This paper proposed a collaborative event log repair method that combined inductive mining with an attention mechanism. The method first applied inductive mining to construct a Petri net-based process model and filtered noisy traces that deviated from the main behavior through token-based replay while preserving essential information. It then designed an adaptive filtering-threshold selection mechanism based on the trace-fitness distribution. The mechanism used the elbow point, stable interval, and minimum sample-retention constraint of the sorted fitness curve to automatically determine the filtering strength, thereby reducing the dependence on fixed ratio enumeration and validation-set feedback. Finally, the method employed a Transformer-based multi-head attention model to capture contextual dependencies among events and predicted missing events together with their attributes. The evaluation further introduced replay fitness of the repaired log on the Petri net model to measure process semantic consistency. Experimental results show that the proposed method delivers excellent performance in event log repair tasks, significantly improves repair accuracy and robustness, and demonstrates strong generalization ability in complex process scenarios. The method provides an effective and scalable solution for handling incomplete and noisy event logs in process mining.

Foundation Support

国家自然科学基金资助项目(61572035)
安徽省重点研究与开发计划项目(2022a05020005)
安徽省自然科学基金项目(水科学联合基金,2308085US11)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.04.0099
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 12

Publish History

[2026-07-29] Accepted Paper

Cite This Article

苏俊翔, 方贤文, 方娜. 流程一致性驱动的事件日志语义修复方法 [J]. 计算机应用研究, 2026, 43 (12). (2026-08-25). https://doi.org/10.19734/j.issn.1001-3695.2026.04.0099. (Su Junxiang, Fang Xianwen, Fang Na. Event log semantic repair method driven by process consistency [J]. Application Research of Computers, 2026, 43 (12). (2026-08-25). https://doi.org/10.19734/j.issn.1001-3695.2026.04.0099. )

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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