DocumentCode
2864907
Title
A New Process Mining Algorithm Based on Event Type
Author
Wang, Dongyi ; Ge, Jidong ; Hu, Hao ; Luo, Bin
fYear
2011
fDate
12-14 Dec. 2011
Firstpage
1144
Lastpage
1151
Abstract
The aim of process mining is to rediscover the process model from the event log which is recorded by the information system. Although the omnipresence of the event logs in information system, rarely part of them are considered to analyze the processes. In this paper, we present a new mining algorithm based on the event type we defined. This algorithm not only can detect all of the SWF-nets and short-loops, but also can directly detect the implicit dependency. Because we can obtain more task information from the event log, we can deal with a wider subclass of WF-nets with the algorithm we have presented.
Keywords
data mining; information systems; event type; information system; process mining algorithm; Business; Computational modeling; Educational institutions; Information systems; Parallel processing; Software; Synchronization; Petri net; Post-tasks; Process mining; Workflow;
fLanguage
English
Publisher
ieee
Conference_Titel
Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-1-4673-0006-3
Type
conf
DOI
10.1109/DASC.2011.186
Filename
6118862
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