E-LIB Suche - Ergebnisse für: van der Aalst, Wil

1

The IEEE XES Standard for Process Mining: Experiences, Adop..:

Wynn, Moe T. ; van der Aalst, Wil ; Verbeek, Eric.
IEEE Computational Intelligence Magazine. 19 (2024) 1 - p. 20-23 , 2024

Link: https://doi.org/10.1109/..

2

Imposing Rules in Process Discovery: An Inductive Mining Ap..:

, In: Research Challenges in Information Science; Lecture Notes in Business Information Processing,

Norouzifar, Ali ; Dees, Marcus ; van der Aalst, Wil - p. 220-236 , 2024

Link: https://doi.org/10.1007/..

3

Process Mining of Mining Processes: Analyzing Longwall Coal..:

Brzychczy, Edyta ; Żuber, Agnieszka ; Aalst, Wil van der
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 54 (2024) 5 - p. 2723-2734 , 2024

Link: https://doi.org/10.1109/..

4

Tuning Machine Learning to Address Process Mining Requireme..:

Ceravolo, Paolo ; Junior, Sylvio Barbon ; Damiani, Ernesto.
IEEE Access. 12 (2024) - p. 24583-24595 , 2024

Link: https://doi.org/10.1109/..

5

Process Variant Analysis Across Continuous Features: A Nove..:

, In: Enterprise, Business-Process and Information Systems Modeling; Lecture Notes in Business Information Processing,

Norouzifar, Ali ; Rafiei, Majid ; Dees, Marcus. - p. 129-142 , 2024

Link: https://doi.org/10.1007/..

6

Improving Shop Floor-Near Production Management Through Dat..:

, In: Internet of Production; Interdisciplinary Excellence Accelerator Series,

Schmitt, Robert H. ; Kiesel, Raphael ; Buschmann, Daniel... - p. 367-390 , 2023

Link: https://doi.org/10.1007/..

7

Welcome to the Era of ChatGPT et al.: The Prospects of Larg..:

Teubner, Timm ; Flath, Christoph M. ; Weinhardt, Christof..
Business & Information Systems Engineering. 65 (2023) 2 - p. 95-101 , 2023

Link: https://doi.org/10.1007/..

8

Mining for Long-Term Dependencies in Causal Graphs:

, In: Business Process Management Workshops; Lecture Notes in Business Information Processing,

Kourani, Humam ; Di Francescomarino, Chiara ; Ghidini, Chiara.. - p. 117-131 , 2023

Link: https://doi.org/10.1007/..

9

The Internet of Production: Interdisciplinary Visions and C..:

, In: Internet of Production; Interdisciplinary Excellence Accelerator Series,

Brecher, Christian ; Padberg, Melanie ; Jarke, Matthias.. - p. 3-14 , 2023

Link: https://doi.org/10.1007/..

10

Discovering Process Models that Support Desired Behavior an..:

, In: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing,

Norouzifar, Ali ; van der Aalst, Wil - p. 365-368 , 2023

Link: https://dl.acm.org/doi/1..

11

Quantum Computing:

Nofer, Michael ; Bauer, Kevin ; Hinz, Oliver..
Business & Information Systems Engineering. 65 (2023) 4 - p. 361-367 , 2023

Link: https://doi.org/10.1007/..

12

Actionable Artificial Intelligence for the Future of Produc..:

, In: Internet of Production; Interdisciplinary Excellence Accelerator Series,

Behery, Mohamed ; Brauner, Philipp ; Zhou, Hans Aoyang... - p. 91-136 , 2023

Link: https://doi.org/10.1007/..

13

Scalable Discovery of Partially Ordered Workflow Models wit..:

, In: 2023 5th International Conference on Process Mining (ICPM),

Kourani, Humam ; Schuster, Daniel ; Van Der Aalst, Wil - p. 89-96 , 2023

Link: https://doi.org/10.1109/..

14

Digital Shadows: Infrastructuring the Internet of Productio:

, In: Internet of Production; Interdisciplinary Excellence Accelerator Series,

van der Aalst, Wil ; Jarke, Matthias ; Koren, István. - p. 17-33 , 2023

Link: https://doi.org/10.1007/..

15

Hybrid Intelligence in Next Generation Manufacturing: An Ou..:

, In: Contributions to Management Science; Forecasting Next Generation Manufacturing,

Piller, Frank T. ; Nitsch, Verena ; van der Aalst, Wil - p. 139-158 , 2022

Link: https://doi.org/10.1007/..