Andrea Maldonado

E-Mail:	andrea.maldonado (at) tum.de
Telefon:	+49 89 289 555 52
Raum:	9377.01.110
Anschrift:	Technische Universität München Andrea Maldonado Lise-Meitner-Str. 9 85521 Ottobrunn

Publikationen an der Professur

1. Reiter, H., Imenkamp, C., Landsiedel, O., Maldonado, A., Rathje, P., & Hasselbring, W. (2025). The PM-EdgeMap: Towards Real-Time Process Mining on the Edge-Cloud Continuum. Proceedings of the 6th International Workshop on the Internet of Things Meets Business Process Management (IoT-BPM 2025) at BPM 2025.

Weitere Publikationen

1. Rauch, S., Frey, C. M. M., Maldonado, A., & Seidl, T. (2025). BEST: Bilaterally Expanding Subtrace Tree for Event Sequence Prediction. Proceedings of the 23rd International Conference on Business Process Management (BPM 2025).
2. Maldonado, A., Frey, C. M. M., Tavares, G. M., Rehwald, N., & Seidl, T. (2024). GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining. Business Process Management (BPM 2024), 221–237. https://doi.org/10.1007/978-3-031-70396-6_13 [Online]
3. Beer, A., Palotás, O., Maldonado, A., Draganov, A., & Assent, I. (2024). DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics. IEEE International Conference on Data Engineering (ICDE 2024), 1143–1156. https://doi.org/10.1109/ICDE60146.2024.00093 [Online]
4. Maldonado, A., Aryasomayajula, S. A., Frey, C. M. M., & Seidl, T. (2024). iGEDI: interactive Generating Event Data with Intentional Features. International Conference on Process Mining (ICPM) Doctoral Consortium / Demo 2024. https://dblp.org/rec/conf/icpm/MaldonadoAFS24 [Online]
5. Maldonado, A. (2024). Data-Driven Approaches Towards Transparent Benchmarking of Process Mining Tasks. International Conference on Process Mining (ICPM) Doctoral Consortium / Demo 2024. https://dblp.org/rec/conf/icpm/Maldonado24 [Online]
6. Maldonado, A., Tavares, G. M., Oyamada, R. S., Ceravolo, P., & Seidl, T. (2023). FEEED: Feature Extraction from Event Data. International Conference on Process Mining (ICPM) Doctoral Consortium / Demo 2023. https://dblp.org/rec/conf/icpm/MaldonadoTOSC23 [Online]
7. Maldonado, A., Zellner, L., Strickroth, S., & Seidl, T. (2023). Process Mining Techniques for Collusion Detection in Online Exams. International Conference on Process Mining (ICPM) Workshops 2023, 336–348. https://dblp.org/rec/conf/icpm/MaldonadoZSS23 [Online]
8. Zellner, L., Richter, F., Sontheim, J., Maldonado, A., & Seidl, T. (2020). Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation. International Conference on Process Mining (ICPM) Workshops 2020, 206–217. https://dblp.org/rec/conf/icpm/ZellnerRSM020 [Online]
9. Richter, F., Maldonado, A., Zellner, L., & Seidl, T. (2020). OTOSO: Online Trace Ordering for Structural Overviews. International Conference on Process Mining (ICPM) Workshops 2020, 218–229. https://dblp.org/rec/conf/icpm/RichterMZ020 [Online]
10. Maldonado, A., Sontheim, J., Richter, F., & Seidl, T. (2020). Performance Skyline: Inferring Process Performance Models from Interval Events. International Conference on Process Mining (ICPM) Workshops 2020, 230–242. https://dblp.org/rec/conf/icpm/MaldonadoSRS20 [Online]