DocumentCode :
1831536
Title :
A review of process mining algorithms
Author :
Yue, Dianmin ; Wu, Xiaodan ; Wang, Haiyan ; Bai, Junbo
Author_Institution :
Sch. of Manage., Heibei Univ. of Technol., Tianjin, China
Volume :
5
fYear :
2011
fDate :
13-15 May 2011
Firstpage :
181
Lastpage :
185
Abstract :
Process mining has been widely applied in lots of fields, which can discover workflow models from event logs, helps to design or re-design process models, and brings convenience to workflow management system. The main function of process mining algorithms is to provide us with valuable objective information hidden in event logs, which plays a crucial important role on the implementation of new operation business process, and audit, analysis and improvement of the existing ones. In this paper, we firstly describe the application background of process mining technology, and then list the frame structure of the technology at home and abroad, followed by summarizing and analyzing the algorithm of important domestic and abroad research, and forecast the future direction for research at last.
Keywords :
data mining; workflow management software; business process; event log; objective information; process mining algorithms; workflow management system; workflow model; Algorithm design and analysis; Business; Clustering algorithms; Computational modeling; Computers; Data mining; Noise; Petri net; event log; process mining algorithm; workflow net;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-61284-108-3
Type :
conf
DOI :
10.1109/ICBMEI.2011.5914454
Filename :
5914454
Link To Document :
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