摘要
提出一种基于Petri网和因果关系矩阵的事件日志过程挖掘方法.基于Petri网和因果关系矩阵的事件日志过程挖掘算法,利用因果关系矩阵进行过程挖掘,其过程模型可以更好地匹配系统产生的事件日志集.
An event log process mining method based on Petri net and causality matrix is proposed.The process mining algorithm based on the idea of mutual transformation between Petri nets and causal relationship matrix uses the causal relationship matrix for process mining,and the resulting process model can better match the event log set generated by the system.
作者
范涛
方贤文
FAN Tao;FANG Xianwen(School of Mathematics and Big Data,Anhui University of Science and Technology,Huainan 232001,China)
出处
《牡丹江师范学院学报（自然科学版）》
2020年第4期10-14,共5页
Journal of Mudanjiang Normal University：Natural Sciences Edition
基金
国家自然科学基金项目(61402011,61572035)
安徽省自然科学基金项目(1508085MF111,1608085QF149)
安徽省高校自然科学基金重点项目(KJ2016A208)。
