
PDC 2019: Award
Yesterday, I received the “Process Discovery Contest Award” for my winning submission to the Process Discovery Contest 2019. Many thanks to Massimiliano, Benoit, and Josep for organizing the contest. Next year, I will help them :-).
Yesterday, I received the “Process Discovery Contest Award” for my winning submission to the Process Discovery Contest 2019. Many thanks to Massimiliano, Benoit, and Josep for organizing the contest. Next year, I will help them :-).
Using a fully-automated variant of the Log Skeleton Filter and Browser, I have managed to classify 195 out of 200 traces correctly for the Process Discovery Contest 2016. Not that this is better than my winning “DrFurby classifier” approach, which classified 193 out of 200 traces correctly. Below, you will find the main log skeletons Read More …
The Log Skeleton readability has been improved by merging some of the arcs and by possibly introducing hyper arcs (to avoid clutter). The figures below show the effect on the log 10 of the Process Discovery Challenge 2017. Log Skeleton Browser As the computation of the hyper arcs may take considerable time, by default hyper Read More …
Using the Log Skeleton Filter and Browser as a basis, I have managed to classify 200 out of 200 traces correctly for the Process Discovery Contest 2017. The full report (including the final classification) can be found below.
With 193 correct classifications out of 200, our DrFurby Classifier has won the Process Discovery Contest @ BPM 2016! See also our BPM Center Report BPM-16-08 on the DrFurby Classifier.
Input Output Package DrFurby Classifier Plug-in The DrFurby Classifier plug-in takes a training log and a test log, and returns a copy of the test log where every trace in the test log is classified as fitting (positive) or non-fitting (negative) to the training log. The main idea behind this plug-in is that weuse different Read More …