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一种基于多视角数据属性的决策表Petri网挖掘方法

张守政 方欢

计算机应用研究2023,Vol.40Issue(12):3706-3716,11.
计算机应用研究2023,Vol.40Issue(12):3706-3716,11.DOI:10.19734/j.issn.1001-3695.2023.04.0167

一种基于多视角数据属性的决策表Petri网挖掘方法

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

张守政 1方欢2

作者信息

  • 1. 安徽理工大学数学与大数据学院,安徽淮南 232001
  • 2. 安徽理工大学数学与大数据学院,安徽淮南 232001||安徽理工大学安徽省煤矿安全大数据分析与预警技术工程实验室,安徽淮南 232001
  • 折叠

摘要

Abstract

When dealing with highly variable processes,the models may not accurately reflect the changes in the rules be-tween 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 se-mantics of the formalized decision Petri net model.Secondly,through adding extended attributes,it analyzed whether the in-ternal 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 ex-perimental 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 pro-vide quantitative and interpretable analysis for data flow anomaly detection.At the same time,the proposed decision table Pe-tri 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.

关键词

声明性过程发现/决策挖掘/规则变化发现/决策表Petri网/异常检测

Key words

declarative process discovery/decision mining/rule change discovery/decision table Petri net/anomaly detection

分类

信息技术与安全科学

引用本文复制引用

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):3706-3716,11.

基金项目

国家自然科学基金资助项目(61902002) (61902002)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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