Step one: decompose a model. Step two: apply negative event based conformance checking. Step three: visualize and monitor conformance issues and deviations in real time.About ----- Process mining encompasses the research area which is concerned with knowledge discovery from event logs. One common process mining task focuses on conformance checking, comparing discovered or designed process models with actual real-life behavior as captured in event logs in order to assess the “goodness” of the process model. This work introduces a novel conformance checking method to measure how well a process model performs in terms of precision and generalization with respect to the actual executions of a process as recorded in an event log. Our approach differs from related work in the sense that we apply the concept of so-called weighted artificial negative events towards conformance checking, leading to more robust results, especially when dealing with less complete event logs that only contain a subset of all possible process execution behavior. In addition, our technique offers a novel way to estimate a process model’s ability to generalize. Existing literature has focused mainly on the fitness (recall) and precision (appropriateness) of process models, whereas generalization has been much more difficult to estimate. The described algorithms are implemented in a number of ProM plugins, and a Petri net conformance checking tool is offered to inspect process model conformance in a visual manner as well. References ---------- Please see the following references for more information: * vanden Broucke, S., Munoz-Gama, J., Carmona, J., Baesens, B., Vanthienen, J. (2014). Event-based real-time decomposed conformance analysis. On the Move Federated Conferences & Workshops: Vol. accepted. International Conference on Cooperative Information Systems (CoopIS 2014). Amantea, Calabria (Italy), 27-31 October 2014 Springer. * vanden Broucke, S., Muñoz-Gama, J., Carmona, J., Baesens, B., Vanthienen, J. (2013). Event-based real-time decomposed conformance analysis, 21 pp: Polytechnic University of Catalonia, Department of Information Languages and Systems. Implementation -------------- The real time conformance checking framework is implemented as a [ProM 6](http://www.promtools.org/) plugin. The source for this plugin can be inspected on [GitHub](https://github.com/Macuyiko/processmining-decomposedconformance). Contact ------- Contact the authors at: * [Seppe vanden Broucke](mailto:seppe.vandenbroucke@kuleuven.be) (corresponding author)
Department of Decision Sciences and Information Management, KU Leuven
Naamsestraat 69, B-3000 Leuven, Belgium * Jorge Muñoz-Gama
Department of Information Languages and Systems, Polytechnic University of Catalonia * Josep Carmona
Department of Information Languages and Systems, Polytechnic University of Catalonia * Jan Vanthienen
Department of Decision Sciences and Information Management, KU Leuven
Naamsestraat 69, B-3000 Leuven, Belgium * Bart Baesens
Department of Decision Sciences and Information Management, KU Leuven
Naamsestraat 69, B-3000 Leuven, Belgium Screenshots ----------- [
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