A novel approach of process mining with event graph

Authors:
Hui Zhang;Ying Liu;Chunping Li;Roger Jiao
Affiliations:
Tsinghua National Lab. for Inf. Science and Techn., Key Lab. for Inf. System Security, Ministry of Education, School of Software, Tsinghua Univ., Beijing, China and Dept. of Industrial & Syste ...;Department of Industrial & Systems Engineering, Hong Kong Polytechnic University, Hong Kong SAR, China;Tsinghua National Laboratory for Information Science and Technology, Key Laboratory for Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing, China;The G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology
Venue:
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Year:
2010

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Abstract

Modern enterprises are increasingly moving towards the workflow paradigm in modeling their business process. One prevailing approach counts on process mining that aims to discover workflow models from log files which contain rich process information. The process models discovered are then used to model and design information systems intended for workflow management. Although workflow logs contain rich information, they have not been made full use in many existing modeling formalisms like Petri nets. In this paper, we propose a novel approach for process mining using event graph to integrate various process related information. Analysis is conducted to show the advantages of event graph based models compared to Petri nets. A case study is also reported to illustrate the entire mining process. Finally, a preliminary evaluation is conducted to show the merits of our method in terms of precision, generalization and robustness.