For more publications, please refer to my Google Scholar profile page ;)
Publications
2026
Scholarly publications
Stein Dani, V., Dees, M., Leopold, H., Busch, K., Beerepoot, I., Van Der Werf, J. M. E. M., & Reijers, H. A. (2026). From Prompt to Process: Event Log Extraction From Relational Databases Using Large Language Models. International Journal of Cooperative Information Systems, 35(1), Article 2650001. [DOI]
2025
Scholarly publications
Stein Dani, V., Lu, X., & Beerepoot, I. (2025). Integrating Wearable Data into Process Mining: Event, Case and Activity Enrichment. arXiv. [DOI] [Repository]
Beerepoot, I., Stein Dani, V., & Lu, X. (2025). ExOAR: Expert-Guided Object and Activity Recognition from Textual Data. (2nd International Workshop on Generative AI for Process Mining (GenAI4PM 2025), held in conjunction with the 7th International Conference on Process Mining (ICPM 2025)). arXiv. [DOI] [Portal]
Stein Dani, V., Dees, M., Leopold, H., Busch, K., Beerepoot, I., van der Werf, J. M., & Reijers, H. (2025). Event Log Extraction for Process Mining Using Large Language Models. In 30th International Conference on Cooperative Information Systems (CoopIS 2024) (pp. 56-72). (Lecture Notes in Computer Science; Vol. 15506). Springer. [DOI] [Repository]
2024
Scholarly publications
Stein Dani, V., Leopold, H., Jessen, U., & van der Werf, J. M. E. M. (2024, Sept 5). Terminators of Process Mining Initiatives: Where to Find Them, What They Feed From, and How to Prevent Their Insurgence. Springer Nature Switzerland.
Stein Dani, V., Leopold, H., van der Werf, J. M. E. M., Beerepoot, I., & Reijers, H. (2024). From Loss of Interest to Denial: A Study on the Terminators of Process Mining Initiatives. In G. Guizzardi, F. Santoro, H. Mouratidis, & P. Soffer (Eds.), Advanced Information Systems Engineering - 36th International Conference, CAiSE 2024, Proceedings (pp. 371-386). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14663 LNCS). Springer. [DOI] [Repository]
Liu, Y., Stein Dani, V., Beerepoot, I., & Lu, X. (2024). Turning Logs Into Lumber: Preprocessing Tasks in Process Mining. In J. De Smedt, & P. Soffer (Eds.), Process Mining Workshops - ICPM 2023 International Workshops, 2023, Revised Selected Papers: The Event Data & Behavioral Analytics (EdbA 2023) (pp. 98-109). (Lecture Notes in Business Information Processing; Vol. 503 LNBIP). Springer. [DOI]
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. [DOI] [Repository]
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. [DOI] [Repository]
2023
Scholarly publications
Stein Dani, V., Leopold, H., van der Werf, J. M., & Reijers, H. (2023). Supporting Event Log Extraction based on Matching. In C. Cabanillas, N. F. Garmann-Johnsen, & A. Koschmider (Eds.), Business Process Management Workshops: BPM 2022 International Workshops, Münster, Germany, September 11–16, 2022, Revised Selected Papers (1 ed., pp. 322-333). (Lecture Notes in Business Information Processing; Vol. 460 ). Springer. [DOI] [Repository]
2022
Scholarly publications
Stein Dani, V., ER, M., Koorn, J., van der Werf, J. M., Leopold, H., & Reijers, H. (2022). Pair Modeling: Does One Plus One Add Up? In A. Marrella, & B. Weber (Eds.), Business Process Management Workshops: BPM 2021 International Workshops, Rome, Italy, September 6–10, 2021, Revised Selected Papers (pp. 261-272). (Lecture Notes in Business Information Processing; Vol. 436 LNBIP). Springer. [DOI] [Repository]
Stein Dani, V., Leopold, H., van der Werf, J. M., Lu, X., Beerepoot, I., Koorn, J., & Reijers, H. (2022). Towards Understanding the Role of the Human in Event Log Extraction. In A. Marrella, & B. Weber (Eds.), Business Process Management Workshops: BPM 2021 International Workshops, Rome, Italy, September 6–10, 2021, Revised Selected Papers (pp. 86-98). (Lecture Notes in Business Information Processing; Vol. 436 LNBIP). Springer. [DOI] [Repository]
2021
Scholarly publications
Koorn, J. J., Beerepoot, I., Dani, V. S., Lu, X., Weerd, I. V. D., Leopold, H., & Reijers, H. A. (2021). Bringing Rigor to the Qualitative Evaluation of Process Mining Findings: An Analysis and a Proposal. In C. Di Ciccio, C. Di Francescomarino, & P. Soffer (Eds.), Proceedings - 2021 3rd International Conference on Process Mining, ICPM 2021 (pp. 120-127). IEEE. [DOI] [Repository]
2020
Scholarly publications
Stein Dani, V. (2020). Event Log Extraction: How to Minimize the Effort of the Human-in-the-Loop? (Extended Abstract). In C. Di Ciccio, B. Depaire, J. De Weerdt, C. Di Francescomarino, & J. Munoz-Gama (Eds.), ICPM 2020 Doctoral Consortium and Tool Demonstration Track (pp. 15) http://ceur-ws.org/Vol-2703/paperDC8.pdf