Business process similarity computing method based on process model structure and log behavior

被引：0

作者：

Zhou C. ^{[1
,2
]}

Zeng Q. ^{[2
]}

Liu C. ^{[2
]}

Duan H. ^{[3
]}

Yuan G. ^{[2
]}

机构：

[1] College of Economics and Management, Shandong University of Science and Technology, Qingdao

[2] College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao

[3] College of Mathematics and System Science, Shandong University of Science and Technology, Qingdao

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2018年 / 24卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Business process; Log behavior; Process model structure; Similarity computing; Weighted graph edit distance;

D O I：

10.13196/j.cims.2018.07.021

中图分类号：

学科分类号：

摘要：

Business process similarity computation is an indispensable task of process management. A novel approach was proposed to compute the process similarity more accurately by considering both structure and behavior characteristics. Process models were converted to Business Process Graphs (BPG). The weight to each edge in the BPG was added according to the event log to obtain a weighted BPG. The weighted BPG that integrated the behavior of both process model and event log could provide more reliable and comprehensive similarity measure. The edit distance measure of two weighed BPGs was defined to compute the similarity. By comparison with existing approaches, the effectiveness of the proposed approach was demonstrated, and all approaches had been implemented in the open-source process mining toolkit ProM. © 2018, Editorial Department of CIMS. All right reserved.

引用

页码：1793 / 1805

页数：12

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