Proceedings of the 2015 International Conference on Electronic Science and Automation Control

A Method of Process Mining Based on Model Merged

Authors
Pei Hua, Xianwen Fang, Xiangwei Liu
Corresponding Author
Pei Hua
Available Online August 2015.
DOI
10.2991/esac-15.2015.33How to use a DOI?
Keywords
Process mining, Behavioral profiles of Petri net, Model merged
Abstract

In the area of Business process mining, there are many methods are available to discover process models from event logs. A new process mining method is proposed based on model merged. Firstly, sub-models are established respectively according to the behavioral profiles of each event log. Then finding out the maximum matched regions of the sub-models, merging the maximum matched regions and adding the rest of the transitions into the suitable place. Thus, the merged model is obtained. The method considers the maximum matched regions as a whole, greatly simplifying the process of modeling. Finally, a simple example is listed to show the feasibility of the method.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Electronic Science and Automation Control
Series
Advances in Computer Science Research
Publication Date
August 2015
ISBN
978-94-62520-95-0
ISSN
2352-538X
DOI
10.2991/esac-15.2015.33How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Pei Hua
AU  - Xianwen Fang
AU  - Xiangwei Liu
PY  - 2015/08
DA  - 2015/08
TI  - A Method of Process Mining Based on Model Merged
BT  - Proceedings of the 2015 International Conference on Electronic Science and Automation Control
PB  - Atlantis Press
SP  - 132
EP  - 135
SN  - 2352-538X
UR  - https://doi.org/10.2991/esac-15.2015.33
DO  - 10.2991/esac-15.2015.33
ID  - Hua2015/08
ER  -