Data-aware process mining with QPR

Together with QPR, we are looking for a Master student interested in data-aware process mining.

The goal of this project is to do a case study with data provided by QPR. This data will be made available in their native data format. The case study will investigate what we can learn from the data using both QPR ProcessAnalyzer and the data-aware techniques as available in ProM.

As a part of the project, the Master student needs to implement scripts that convert the native QPR data format to the XES data format (as used by ProM) and back. For this reason, some programming skills are required.


For more information, contact Massimiliano de Leoni