‘The Log Skeleton Visualizer in ProM 6.9’ accepted for publication

The paper titled ‘The Log Skeleton Visualizer in ProM 6.9’ has been accepted for the journal ‘STTT Competitions and Challenges Track – TOOLympics 2019′. This paper introduces the winning contribution to the Process Discovery Contest of 2019 (PDC 2019), called the Log Skeleton Visualizer. This visualizer uses a novel type of process models called log skeletons. In contrast to many workflow-net-based discovery techniques, these log skeletons do not rely on the directly follows relation. As a result, log skeletons offer circumstantial information on the event log at hand rather than only sequential information. Using this visualizer we were able to classify 898 out of 900 traces correctly for the PDC 2019, and to win this contest.