DocumentCode :
3067040
Title :
Impact of Data Aggregation on the Significance of Process Mining Results: An Experimental Evaluation
Author :
Gerke, Kerstin
Author_Institution :
SAP Res. CEC Dresden, Dresden
fYear :
2008
fDate :
23-25 June 2008
Firstpage :
247
Lastpage :
248
Abstract :
Today, many enterprises seek for efficient business process coordination and control to raise business process quality. Process mining technologies promise significant potentials in making business process knowledge explicit. However, it appears to be important to distinguish homogeneous process structures within a business process model to manage them accordingly. In this paper we present an experimental result of the classification of business processes according to their complexity. Furthermore, we evaluate if the homogeneity of the business processes correspond to the business process models derived with process mining.
Keywords :
business process re-engineering; data mining; business process knowledge; business process model; business process quality; data aggregation; process mining; Business communication; Chemical technology; Collaborative work; Data mining; Databases; Information systems; PROM; Process control; Process design; System testing; Clustering; Process Complexity; Process Mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2008. WETICE '08. IEEE 17th
Conference_Location :
Rome
ISSN :
1524-4547
Print_ISBN :
978-0-7695-3315-5
Type :
conf
DOI :
10.1109/WETICE.2008.25
Filename :
4806927
Link To Document :
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