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Reliability Evaluation Method of Business Process Model Discovery Algorithm
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Qing-xin GAO1, Cong LIU1, 2, *, Zai-gui ZHANG3, Hui-ling LI4, Qing-tian ZENG2
Science Technology and Engineering | 2025, 25(7) : 2832 - 2840
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Science Technology and Engineering | 2025, 25(7): 2832-2840
• Papers·Automation and Computational Technology •
Reliability Evaluation Method of Business Process Model Discovery Algorithm
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Qing-xin GAO1, Cong LIU1, 2, *, Zai-gui ZHANG3, Hui-ling LI4, Qing-tian ZENG2
Affiliations
  • 1 School of Computer Science and Technology, Shandong University of Technology, Zibo 255000, China
  • 2 College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
  • 3 Jinan Inspur (Jinan Data) Technology Co., Ltd., Jinan 250100, China
  • 4 School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China.
Published: 2025-03-08 doi: 10.12404/j.issn.1671-1815.2402656
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Process model discovery algorithms are capable of extracting process models from event logs, but different algorithms have varying capabilities in handling event logs. Currently, most research on evaluating these algorithms involves indirect evaluation methods, which have limitations. To address this issue, a method was proposed to directly evaluate the reliability of process model discovery algorithms, using reliability as an important evaluation metric. The original event log was preprocessed to obtain an incremental sub-log collection, the process model discovery algorithm was applied to the incremental sub-logs and the original event log to obtain process models, and the reliability of the business process model discovery algorithm was evaluated through quality assessment. Based on nine public simulation event logs and four real event logs, multiple model discovery algorithms were experimented on from the aspects of weak reliability, noise interference reliability, and strong reliability. The experimental results showed that the reliability values of Heuristic Miner, Inductive Miner-infrequent, Inductive Miner, and Alpha Miner were 4, 3.2, 2.4, and 1.6, respectively. Higher reliability values indicated stronger reliability of the algorithms. Thus, the proposed method can effectively evaluate the reliability of the algorithms.

process mining  /  model discovery algorithm  /  event log  /  reliability evaluation  /  quality measure
Qing-xin GAO, Cong LIU, Zai-gui ZHANG, Hui-ling LI, Qing-tian ZENG. Reliability Evaluation Method of Business Process Model Discovery Algorithm[J]. Science Technology and Engineering, 2025 , 25 (7) : 2832 -2840 . DOI: 10.12404/j.issn.1671-1815.2402656
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Article Info
doi: 10.12404/j.issn.1671-1815.2402656
  • Receive Date：2024-04-12
  • Online Date：2026-03-30
  • Published：2025-03-08
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  • Received：2024-04-12
  • Revised：2024-06-05
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Affiliations
    1 School of Computer Science and Technology, Shandong University of Technology, Zibo 255000, China
    2 College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    3 Jinan Inspur (Jinan Data) Technology Co., Ltd., Jinan 250100, China
    4 School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China.
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