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Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)
Towards Enterprise Archeology: Extracting Business Processes from Runtime Event Data
Hong Kong, China
December 18-December 22
ISBN: 0-7695-2702-7
Asuman Suenbuel, SAP Research Labs, 3175 Deer Creek Road, Palo Alto, CA
Ming-Shien Shan, SAP Research Labs, 3175 Deer Creek Road, Palo Alto, CA
In this paper, we are presenting an approach and experimental results for the extraction of high-level businessprocess 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.
Citation:
Asuman Suenbuel, Ming-Shien Shan, "Towards Enterprise Archeology: Extracting Business Processes from Runtime Event Data," icdmw, pp.468-473, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006
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