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