P-MInD is a framework for discovering holistic decision models from event logs.About ----- The interest of integrating decision analysis approaches with the automated discovery of processes from data has seen a vast surge over the past few years. Most notably the introduction of the Decision Model and Notation (DMN) standard by the Object Management Group has provided a suitable solution for filling the void of decision representation in business process modeling languages. Process discovery has already embraced DMN for so-called decision mining, however, the efforts are still limited to a control flow point of view, i.e., explaining routing (constructs) or decision points. This work, however, introduces an integrated way of capturing the decisions that are embedded in the process, which is not limited to local characteristics, but provides a decision model which encompasses the full process execution span. Therefore, a typology is proposed for classifying different activities that contribute to the decision dimension of the process. This enables the possibility for an in-depth analysis of every activity, deciding whether it entails a decision activity, and what its relation is to other activities. The findings are implemented and illustrated on the 2013 BPI Challenge log, an exemplary dataset originating from a decision-driven process. Implementation -------------- P-MInD has been implemented in Java. It makes use of [Weka](http://www.cs.waikato.ac.nz/ml/weka/) and [OpenXES](http://www.xes-standard.org/openxes/start). The following JAR file contains the plugin: * [Version of 2016-12-04](downloads/P-MInD_2016-12-04.jar) You will be prompted to provide a XES file upon starting the plugin. It is command line based (call the jar with -h for help) and outputs a [DOT file](http://www.graphviz.org/content/dot-language). An example event log can be found here: * [Running Example](downloads/example_eventlog.xes) The paper uses the [2013 BPI Challenge dataset](http://data.4tu.nl/repository/uuid:c2c3b154-ab26-4b31-a0e8-8f2350ddac11). Contact ------- Contact the authors at: * [Johannes De Smedt](mailto:johannes.desmedt@kuleuven.be) (corresponding author)
Department of Decision Sciences and Information Management, KU Leuven
Naamsestraat 69, B-3000 Leuven, Belgium * [Faruk Hasic](mailto:faruk.hasic@kuleuven.be)
Department of Decision Sciences and Information Management, KU Leuven
Naamsestraat 69, B-3000 Leuven, Belgium * [Seppe vanden Broucke](mailto:seppe.vandenbroucke@kuleuven.be)
Department of Decision Sciences and Information Management, KU Leuven
Naamsestraat 69, B-3000 Leuven, Belgium Screenshots ----------- [
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