Seppe vanden Broucke
Seppe vanden Broucke
Assistant Professor at UGent, Lecturer at KU Leuven
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Active trace clustering for improved process discovery
J De Weerdt, S vanden Broucke, J Vanthienen, B Baesens
IEEE Transactions on Knowledge and Data Engineering 25 (12), 2708-2720, 2013
An empirical comparison of techniques for the class imbalance problem in churn prediction
B Zhu, B Baesens, SKLM vanden Broucke
Information Sciences 408, 84-99, 2017
Fodina: a robust and flexible heuristic process discovery technique
SKLM vanden Broucke, J De Weerdt
Decision Support Systems 100, 109-118, 2017
Determining process model precision and generalization with weighted artificial negative events
S Vanden Broucke, J De Weerdt, J Vanthienen, B Baesens
IEEE Transactions on Knowledge and Data Engineering, 2013
Profit maximizing logistic model for customer churn prediction using genetic algorithms
E Stripling, S vanden Broucke, K Antonio, B Baesens, M Snoeck
Swarm and Evolutionary Computation 40, 116-130, 2018
A guide for the application of analytics on healthcare processes: A dynamic view on patient pathways
J Lismont, AS Janssens, I Odnoletkova, S vanden Broucke, F Caron, ...
Computers in Biology and Medicine 77, 125-134, 2016
Event-based real-time decomposed conformance analysis
SKLM vanden Broucke, J Munoz-Gama, J Carmona, B Baesens, ...
OTM Confederated International Conferences" On the Move to Meaningful …, 2014
A dynamic understanding of customer behavior processes based on clustering and sequence mining
A Seret, SKLM vanden Broucke, B Baesens, J Vanthienen
Expert Systems with Applications 41 (10), 4648-4657, 2014
Event-based Real-time Decomposed Conformance Analysis
SKLM vanden Broucke, J Munoz-Gama, J Carmona, B Baesens, ...
act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes
P De Koninck, S vanden Broucke, J De Weerdt
International Conference on Business Process Management, 305-321, 2018
Benchmarking sampling techniques for imbalance learning in churn prediction
B Zhu, B Baesens, A Backiel, SKLM vanden Broucke
Journal of the Operational Research Society, 1-17, 2017
A Comprehensive Benchmarking Framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM
S vanden Broucke, J De Weerdt, B Baesens, J Vanthienen
Proceedings of the IEEE Symposium on Computational Intelligence and Data …, 2013
Towards a Holistic Discovery of Decisions in Process-Aware Information Systems
J De Smedt, F Hasić, SKLM vanden Broucke, J Vanthienen
International Conference on Business Process Management, 183-199, 2017
Profit driven decision trees for churn prediction
S Höppner, E Stripling, B Baesens, S vanden Broucke, T Verdonck
European Journal of Operational Research 284 (3), 920-933, 2020
Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes
J De Weerdt, S vanden Broucke, J Vanthienen, B Baesens
Evolutionary Computation (CEC), 2012 IEEE Congress on, 1-8, 2012
Practical Web Scraping for Data Science: Best Practices and Examples with Python
S vanden Broucke, B Baesens
Apress, 2018
Explaining clusterings of process instances
P De Koninck, J De Weerdt, SKLM vanden Broucke
Data Mining and Knowledge Discovery 31 (3), 774-808, 2017
Enabling flexible location-aware business process modeling and execution
X Zhu, S vanden Broucke, G Zhu, J Vanthienen, B Baesens
Decision Support Systems 83, 1-9, 2016
Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud
E Stripling, B Baesens, B Chizi, S vanden Broucke
Decision Support Systems 111, 13-26, 2018
Data mining methods for classification of Medium-Chain Acyl-CoA dehydrogenase deficiency (MCADD) using non-derivatized tandem MS neonatal screening data
T Van den Bulcke, PV Broucke, VV Hoof, K Wouters, SV Broucke, G Smits, ...
Journal of Biomedical Informatics 44 (2), 319-325, 2011
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