Abstract
Process mining offers a way to distill process models from event logs originating from transactional systems in logistics, banking, e-business, health-care, etc. The algorithms used for process mining are complex and in practise large logs are needed to derive a high-quality process model. To support these efforts, the process mining tool EMiT has been built. EMiT is a tool that imports event logs using a standard XML format as input. Using an extended version of the α-algorithm [3,8] it can discover the underlying process model and represent it in terms of a Petri net. This Petri net is then visualized by the program, automatically generating a ”smart” layout of the model. To support the practical application of the tool, various adapters have been developed that allow for the translation of system-specific logs to the standard XML format. As a running example, we use an event log generated by the workflow management system Staffware.
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van Dongen, B.F., van der Aalst, W.M.P. (2004). EMiT: A Process Mining Tool. In: Cortadella, J., Reisig, W. (eds) Applications and Theory of Petri Nets 2004. ICATPN 2004. Lecture Notes in Computer Science, vol 3099. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27793-4_26
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DOI: https://doi.org/10.1007/978-3-540-27793-4_26
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