EMiT: A process mining tool. 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 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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References in zbMATH (referenced in 4 articles , 1 standard article )
Showing results 1 to 4 of 4.
- Reijers, Hajo A.; Song, Minseok; Jeong, Byungduk: Analysis of a collaborative workflow process with distributed actors (2009)
- van Dongen, B.F.; de Medeiros, A.K.A.; Verbeek, H.M.W.; Weijters, A.J.M.M.; van der Aalst, W.M.P.: The ProM framework: A new era in process mining tool support (2005)
- van Dongen, Boudewijn F.; van der Aalst, Wil M.P.: EMiT: A process mining tool (2004)
- van der Aalst, W.M.P.; van Dongen, B.F.: Discovering workflow performance models from timed logs (2002)