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