Title :
Towards Enterprise Archeology: Extracting Business Processes from Runtime Event Data
Author :
Suenbuel, Asuman ; Shan, Ming-Shien
Author_Institution :
SAP Res. Labs., Palo Alto, CA
Abstract :
In this paper, we are presenting an approach and experimental results for the extraction of high-level business-process models from running enterprise systems. Business process improvement has always been at the heart of any corporation´s goals. Business processes is what companies execute, and better and more efficient processes mean higher service quality and lower costs
Keywords :
corporate modelling; data mining; business processes; enterprise archeology; process mining; runtime event data; Algorithm design and analysis; Application software; Companies; Costs; Data mining; Heart; Large-scale systems; Programming profession; Runtime; Software maintenance;
Conference_Titel :
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2702-7
DOI :
10.1109/ICDMW.2006.159
