1 code implementation • 13 Dec 2022 • Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
In this work, we investigate the capabilities of such an LSTM to actually learn the underlying process model structure of an event log.
1 code implementation • 24 Feb 2022 • Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Therefore, in this work, we propose an evaluation scheme complemented with new fitness, precision, and generalisation metrics, specifically tailored towards measuring the capacity of deep learning models to learn process model structure.
no code implementations • 13 Oct 2021 • Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck, Jochen De Weerdt
Within the field of process mining, several different trace clustering approaches exist for partitioning traces or process instances into similar groups.
no code implementations • 21 Dec 2017 • Sebastiaan Höppner, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Tim Verdonck
Customer retention campaigns increasingly rely on predictive models to detect potential churners in a vast customer base.