Search Results for author: Seppe vanden Broucke

Found 4 papers, 2 papers with code

Can recurrent neural networks learn process model structure?

1 code implementation13 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.

Predictive Process Monitoring

Can deep neural networks learn process model structure? An assessment framework and analysis

1 code implementation24 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.

Predictive Process Monitoring

Expert-driven Trace Clustering with Instance-level Constraints

no code implementations13 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.

Clustering

Profit Driven Decision Trees for Churn Prediction

no code implementations21 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.

Binary Classification General Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.