Article2009

ProM : the process mining toolkit

Wil M. P. van der Aalst · Boudewijn F. van Dongen · CW Christian Günther · Anne Rozinat · H. M. W. Verbeek · Ton Weijters

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Business Process Modeling and Analysis Software Testing and Debugging Techniques Data Mining Algorithms and Applications

Abstract

Process mining has been around for a decade, and it has proven to be a very fertile and successful research field. Part of this success can be contributed to the ProM tool, which combines most of the existing process mining techniques as plug-ins in a single tool. ProM6 removes many limitations that existed in the previous versions, in particular with respect to the tight integration between the tool and the GUI. ProM 6 has been developed from scratch and uses a completely redesigned architecture. The changes were driven by many real-life applications and new insights into the design of process analysis software. Furthermore, the introduction of XESame in this toolkit allows for the conversion of logs to the ProM native format without programming.

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References

2004Workflow mining: discovering process models from event logs 2007Conformance checking of processes based on monitoring real behavior 2005The ProM Framework: A New Era in Process Mining Tool Support 1998Mining process models from workflow logs 2006Business process mining: An industrial application 2006Process-aware information systems: bridging people and software through process technology 2003Rediscovering workflow models from event-based data using little thumb 2008Application of Process Mining in Healthcare – A Case Study in a Dutch Hospital

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2012A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs 2018Time and activity sequence prediction of business process instances 2021A Survey on Concept Drift in Process Mining 2013Monitoring business constraints with the event calculus 2013A markov prediction model for data-driven semi-structured business processes

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