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A Region-Based Algorithm for Discovering Petri Nets from Event Logs

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Business Process Management (BPM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5240))

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Abstract

The paper presents a new method for the synthesis of Petri nets from event logs in the area of Process Mining. The method derives a bounded Petri net that over-approximates the behavior of an event log. The most important property is that it produces a net with the smallest behavior that still contains the behavior of the event log. The methods described in this paper have been implemented in a tool and tested on a set of examples.

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Carmona, J., Cortadella, J., Kishinevsky, M. (2008). A Region-Based Algorithm for Discovering Petri Nets from Event Logs. In: Dumas, M., Reichert, M., Shan, MC. (eds) Business Process Management. BPM 2008. Lecture Notes in Computer Science, vol 5240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85758-7_26

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  • DOI: https://doi.org/10.1007/978-3-540-85758-7_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85757-0

  • Online ISBN: 978-3-540-85758-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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