Editorial: recent advances in process analytics-Reference-Cited by-同舟云学术

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Editorial: recent advances in process analytics

Published:2023-07-06 Issue:1 Volume:61 Page:1-3
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Ceravolo Paolo,Di Ciccio Claudio,Di Francescomarino Chiara,Gómez-López María Teresa,Maggi Fabrizio Maria,Sindhgatta Renuka

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10844-023-00798-w.pdf

Reference11 articles.

1. Barbieri, L., Madeira, E., Stroeh, K., et al. (2022). A natural language querying interface for process mining. Journal of Intelligent Information Systems. https://doi.org/10.1007/s10844-022-00759-9

2. Chiorrini, A., Diamantini, C., Genga, L., et al. (2023). Multi-perspective enriched instance graphs for next activity prediction through graph neural network. Journal of Intelligent Information Systems. https://doi.org/10.1007/s10844-023-00777-1

3. Dumas, M., Fournier, F., Limonad, L., et al. (2023). Ai-augmented business process management systems: A research manifesto. ACM Transactions on Management Information Systems 14(1):11:1-11:19. https://doi.org/10.1145/3576047.

4. Dumas, M., La Rosa, M., Mendling, J., et al. (2018). Fundamentals of Business Process Management, Second Edition. Springer, https://doi.org/10.1007/978-3-662-56509-4

5. Fani Sani, M., Vazifehdoostirani, M., Park, G., et al. (2023). Performance-preserving event log sampling for predictive monitoring. Journal of Intelligent Information Systems. https://doi.org/10.1007/s10844-022-00775-9

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