System Development & Application
|
App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 12
3706-3716

Approach of decision table Petri net mining method based on multi perspective data attributes

Zhang Shouzhenga
Fang Huana,b
a. College of Mathematics & Big Data, b. Anhui Province Engineering Laboratory for Big Data Analysis & Early Warning Technology of Coal Mine Safety, Anhui University of Science & Technology, Huainan Anhui 232001, China
DOI: 10.19734/j.issn.1001-3695.2023.04.0167

Abstract

When dealing with highly variable processes, the models may not accurately reflect the changes in the rules between different decision points in the process operation, by using the existing automatic process mining techniques. From the perspective of declarative process discovery, this paper proposed a decision table Petri net mining method with visual decision rules, to realize the mapping from real event log to a declarative process decision table Petri net model. Firstly, this method formalized both the decision table Petri net model and its rule analysis decision table, and designed the static and dynamic semantics of the formalized decision Petri net model. Secondly, through adding extended attributes, it analyzed whether the internal attributes or event attributes of the process would affect the decision. Furthermore, it generated outlier attributes with their deviation degrees of the rule analysis decision table to determine the degree of exception of the rule. Finally, it conducted experimental simulation on the basis of a set of artificial logs and practical event logs, and at the same time, it analyzed the experimental results by comparing with the extant data mining technology by Petri nets. The experimental results show that the proposed method has certain advantages in representing the change of rules during the operation of the process, which can provide quantitative and interpretable analysis for data flow anomaly detection. At the same time, the proposed decision table Petri net mining method can integrate the decision information with the model structure together, providing a formal basis for the variability modeling of the process model.

Foundation Support

国家自然科学基金资助项目(61902002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.04.0167
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 12
Section: System Development & Application
Pages: 3706-3716
Serial Number: 1001-3695(2023)12-029-3706-11

Publish History

[2023-07-05] Accepted Paper
[2023-12-05] Printed Article

Cite This Article

张守政, 方欢. 一种基于多视角数据属性的决策表Petri网挖掘方法 [J]. 计算机应用研究, 2023, 40 (12): 3706-3716. (Zhang Shouzheng, Fang Huan. Approach of decision table Petri net mining method based on multi perspective data attributes [J]. Application Research of Computers, 2023, 40 (12): 3706-3716. )

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  • 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.

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