DocumentCode
2358864
Title
ProcMiner: Advancing Process Analysis and Management
Author
Nurminen, Miika ; Honkaranta, Anne ; Kärkkäinen, Tommi
Author_Institution
Jyvaskyla Univ., Jyvaskyla
fYear
2007
fDate
17-20 April 2007
Firstpage
760
Lastpage
769
Abstract
This paper contributes both to research and practice on process mining. Previous research on process mining has focused on mining patterns from event log files to generate process models. The process mining approach adopted in this paper is focused on producing patterns about process models, not the models themselves. The approach is demonstrated by ProcMiner -an explorative research prototype for management, consolidating, publishing, retrieving, and analyzing process models. Content-based document clustering is applied to process models represented as XML database in order to find topical groups from models. In practice, organizations face numerous challenges in managing their process models. The models may be heterogeneous or ambiguous. The modeling software may change over time or due to differences in departmental purchases. ProcMiner was used in quality system development initiative at the University of Jyvaskyla The findings support previous model engineering research, showing that multiple actions are needed to ensure consistency of process models, and to make them efficiently manageable.
Keywords
XML; data mining; document handling; pattern clustering; ProcMiner; XML database; content-based document clustering; event log files; pattern mining; process mining; process model; Business process re-engineering; Engineering management; Information analysis; Information technology; Power system modeling; Prototypes; Publishing; Technology management; Text mining; Total quality management;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering Workshop, 2007 IEEE 23rd International Conference on
Conference_Location
Istanbul
Print_ISBN
978-1-4244-0832-0
Electronic_ISBN
978-1-4244-0832-0
Type
conf
DOI
10.1109/ICDEW.2007.4401065
Filename
4401065
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