Dr. V. (Vinicius) Stein Dani

Onderzoeker
Process Science
v.steindani@uu.nl

Voor meer publicaties verwijzen wij u naar mijn Google Scholar profielpagina ;)

Publicaties

2024

Wetenschappelijke publicaties

Stein Dani, V. (2024). The Alpha and Omega of Process Mining. [Doctoral thesis 1 (Research UU / Graduation UU), Universiteit Utrecht]. Utrecht University. https://doi.org/10.33540/2528
https://research-portal.uu.nl/ws/files/240487338/the%20alpha%20and%20omega%20of%20process%20mining%20v20240919b%20-%2066ec32cf6fd3f.pdf
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. https://doi.org/10.1007/978-3-031-61057-8_22
https://research-portal.uu.nl/ws/files/227461210/978-3-031-61057-8_22.pdf
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. https://doi.org/10.1007/978-3-031-56107-8_8
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. https://doi.org/10.1007/978-3-031-46846-9_15
https://dspace.library.uu.nl/bitstream/handle/1874/436330/978-3-031-46846-9_15.pdf?sequence=1
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. https://doi.org/10.1007/978-3-031-46587-1_9
https://dspace.library.uu.nl/bitstream/handle/1874/436329/978-3-031-46587-1_9.pdf?sequence=1

2023

Wetenschappelijke publicaties

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. https://doi.org/10.1007/978-3-031-25383-6_24
https://dspace.library.uu.nl/bitstream/handle/1874/436264/978-3-031-25383-6_24.pdf?sequence=1

2022

Wetenschappelijke publicaties

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. https://doi.org/10.1007/978-3-030-94343-1_20
https://research-portal.uu.nl/ws/files/231889262/978-3-030-94343-1_20.pdf
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. https://doi.org/10.1007/978-3-030-94343-1_7
https://research-portal.uu.nl/ws/files/231889283/978-3-030-94343-1_7.pdf

2021

Wetenschappelijke publicaties

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. https://doi.org/10.1109/icpm53251.2021.9576877
https://research-portal.uu.nl/ws/files/233986904/Bringing_Rigor_to_the_Qualitative_Evaluation_of_Process_Mining_Findings_An_Analysis_and_a_Proposal.pdf

2020

Wetenschappelijke publicaties

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