Pieter De Koninck

11 papers A 3B 1Journal 4Unranked 3
YearRankTypeTitle / Venue / Authors
2021 J jnl
Expert-driven Trace Clustering with Instance-level Constraints.
CoRR
Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck, Jochen De Weerdt
2021 J jnl
Expert-driven trace clustering with instance-level constraints.
Knowl. Inf. Syst.
Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck, Jochen De Weerdt
2019 B conf
Scalable Mixed-Paradigm Trace Clustering using Super-Instances.
ICPM
Pieter De Koninck, Jochen De Weerdt
2018 A conf
act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes.
BPM
Pieter De Koninck, Seppe vanden Broucke, Jochen De Weerdt
2017 A conf
An Approach for Incorporating Expert Knowledge in Trace Clustering.
CAiSE
Pieter De Koninck, Klaas Nelissen, Bart Baesens, Seppe vanden Broucke, Monique Snoeck, Jochen De Weerdt
2017 — conf
Dropout Prediction in MOOCs: A Comparison Between Process and Sequence Mining.
Business Process Management Workshops
Galina Deeva, Johannes De Smedt, Pieter De Koninck, Jochen De Weerdt
2017 J jnl
Explaining clusterings of process instances.
Data Min. Knowl. Discov.
Pieter De Koninck, Jochen De Weerdt, Seppe K. L. M. vanden Broucke
2017 J jnl
Similarity-Based Approaches for Determining the Number of Trace Clusters in Process Discovery.
Trans. Petri Nets Other Model. Concurr.
Pieter De Koninck, Jochen De Weerdt
2016 A conf
A Stability Assessment Framework for Process Discovery Techniques.
BPM
Pieter De Koninck, Jochen De Weerdt
2016 — conf
Determining the Number of Trace Clusters: a Stability-based Approach.
ATAED@Petri Nets/ACSD
Pieter De Koninck, Jochen De Weerdt
2016 — conf
Multi-objective Trace Clustering: Finding More Balanced Solutions.
Business Process Management Workshops
Pieter De Koninck, Jochen De Weerdt