| act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes P De Koninck, S vanden Broucke, J De Weerdt Business Process Management: 16th International Conference, BPM 2018, Sydney …, 2018 | 84 | 2018 |
| Dropout prediction in MOOCs: a comparison between process and sequence mining G Deeva, J De Smedt, P De Koninck, J De Weerdt Business Process Management Workshops: BPM 2017 International Workshops …, 2018 | 37 | 2018 |
| Explaining clusterings of process instances P De Koninck, J De Weerdt, S vanden Broucke Data Mining and Knowledge Discovery, 1-35, 2016 | 37 | 2016 |
| An approach for incorporating expert knowledge in trace clustering P De Koninck, K Nelissen, B Baesens, S vanden Broucke, M Snoeck, ... Advanced Information Systems Engineering: 29th International Conference …, 2017 | 19 | 2017 |
| Scalable mixed-paradigm trace clustering using super-instances P De Koninck, J De Weerdt 2019 International Conference on Process Mining (ICPM), 17-24, 2019 | 16 | 2019 |
| Expert-driven trace clustering with instance-level constraints P De Koninck, K Nelissen, S Vanden Broucke, B Baesens, M Snoeck, ... Knowledge and Information Systems 63 (5), 1197-1220, 2021 | 15 | 2021 |
| vanden Broucke S De Weerdt J Weske M Montali M Weber I vom Brocke J act2vec, trace2vec, log2vec, and model2vec: representation learning for business processes P De Koninck Business Process Management, 2018 | 8 | 2018 |
| Multi-objective trace clustering: Finding more balanced solutions P De Koninck, J De Weerdt Business Process Management Workshops: BPM 2016 International Workshops, Rio …, 2017 | 7 | 2017 |
| vanden Broucke S, De Weerdt J (2018) act2vec, trace2vec, log2vec, and model2vec: representation learning for business processes P De Koninck Business process management. Springer, Berlin, 305-321, 0 | 7 | |
| Similarity-based approaches for determining the number of trace clusters in process discovery P De Koninck, J De Weerdt Transactions on Petri Nets and Other Models of Concurrency XII, 19-42, 2017 | 6 | 2017 |
| Determining the number of trace clusters: a stability-based approach P De Koninck, J De Weerdt Proceedings of the International Workshop on Algorithms & Theories for the …, 2016 | 5 | 2016 |
| A stability assessment framework for process discovery techniques P De Koninck, J De Weerdt Business Process Management: 14th International Conference, BPM 2016, Rio de …, 2016 | 3 | 2016 |
| Advanced Clustering Techniques for Business Process Execution Traces P De Koninck | | 2019 |
| Advancing trace clustering beyond traditional objectives P De Koninck Doctoral Consortium at the 14th International Conference on Business Process …, 2016 | | 2016 |
Jochen De WeerdtKU LeuvenVerified email at kuleuven.be
