Determine Execution Time and Selection Probabilities in Process Mining via Petri Nets

摘要：

　　In process mining research,process discovery techniques can produce or rebuild models with the information from logs.There are already algorithms supporting control-flow perspective mining which focus on the order of events and provide understanding workflow paths.But few of them take time perspective and path selection probabilities into consideration,which are important in performance evaluating,delay prediction,decision making,as well as process redesigning and optimizing.This paper provides a novel algorithm which determines the information of time perspective and selection probabilities from a log and integrates them with the control-flow perspective.By applying this algorithm,a stochastic Petri net is provided which is useful in performance analyzing and process optimizing.

关键词： process mining time perspective path selection probabilities stochastic Petri nets

作者: Zhou Huan Lin Chuang Deng Yiping Wan Zicheng

作者单位: Department of Computer Science and Technology University of Tsinghua,Beijing,China,100084 Department of Intemet of Things University of Beijing Institute of Technology,Beijing,China,102488

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 1838-1845

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）