DocumentCode :
2299098
Title :
Mining Process Variants: Goals and Issues
Author :
Li, Chen ; Reichert, Manfred ; Wombacher, Andreas
Author_Institution :
Univ. of Twente, Enschede
Volume :
2
fYear :
2008
fDate :
7-11 July 2008
Firstpage :
573
Lastpage :
576
Abstract :
Recently, process-aware information systems (PAIS) were introduced, which allow for dynamic process and service changes. This, in turn, has led to a large number of process model variants, which are difficult to maintain and expensive to configure. This paper deals with goals and issues related to the mining of process model variants. Our overall goal is to learn from process changes and to "merge" the resulting model variants into a generic process model in the best possible way. By adopting this generic process model in the PAIS, future cost of process change and need for process adaptations will decrease.
Keywords :
business data processing; data mining; information systems; PAIS; dynamic process; mining process variants; process adaptations; process-aware information systems; Costs; Hospitals; Information systems; Medical treatment; Monitoring; High-level Change; Process Configuration; Process Variants; process variant mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing, 2008. SCC '08. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-0-7695-3283-7
Type :
conf
DOI :
10.1109/SCC.2008.103
Filename :
4578584
Link To Document :
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