2023
Scholarly publications
Liu, Y., Stein Dani, V., Beerepoot, I., & Lu, X. (Accepted/In press). Turning Logs Into Lumber: Preprocessing Tasks in Process Mining. In 4th International Conference on Process Mining (ICPM 2023) Workshops - The Event Data & Behavioral Analytics (EdbA 2023)
Stein Dani, V., Leopold, H., van der Werf, J. M., Beerepoot, I., & Reijers, H. (2024).
From Process Mining Insights to Process Improvement: All Talk and No Action? In M. Sellami, W. Gaaloul, M-E. Vidal, B. van Dongen, & H. Panetto (Eds.),
Cooperative Information Systems - 29th International Conference, CoopIS 2023, Proceedings: 29th International Conference, CoopIS 2023, Groningen, The Netherlands, October 30–November 3, 2023, Proceedings (pp. 275-292). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14353 LNCS). Springer. Advance online publication.
https://doi.org/10.1007/978-3-031-46846-9_15 Stein Dani, V., Leopold, H., van der Werf, J. M., & Reijers, H. (2024).
Progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations. In H. A. Proper, L. Pufahl, D. Karastoyanova, M. van Sinderen, & J. Moreira (Eds.),
Enterprise Design, Operations, and Computing - 27th International Conference, EDOC 2023, Proceedings: 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings (pp. 152-168). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14367 LNCS). Springer. Advance online publication.
https://doi.org/10.1007/978-3-031-46587-1_9