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2009
Springer

Abstractions in Process Mining: A Taxonomy of Patterns

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Abstractions in Process Mining: A Taxonomy of Patterns
ions in Process Mining: A Taxonomy of Patterns R.P. Jagadeesh Chandra Bose1,2 and Wil M.P. van der Aalst1 1 Department of Mathematics and Computer Science, University of Technology, Eindhoven, The Netherlands 2 Philips Healthcare, Veenpluis 5-6, Best, The Netherlands Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms have problems dealing with such unstructured processes and generate spaghetti-like process models that are hard to comprehend. One reason for such a result can be attributed to constructing process models from raw traces without due pre-processing. In an event log, there can be instances where the system is subjected to similar execution patterns/behavior. Discovery of common patterns of invocation of activities in traces (beyond the immediate succession relation) can help in improving the discovery of process models and can assist in defining t...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where BPM
Authors R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aalst
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