A Reference Data Model to Specify Event Logs for Big Data Pipeline Discovery

Author:

Benvenuti Dario,Marrella Andrea,Rossi Jacopo,Nikolov Nikolay,Roman Dumitru,Soylu Ahmet,Perales Fernando

Publisher

Springer Nature Switzerland

Reference30 articles.

1. van der Aalst, W.M.P.: Process Mining: Data Science in Action. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-49851-4

2. Abb, L., Rehse, J.: A reference data model for process-related user interaction logs. In: 20th International Conference on Business Process Management (BPM 2022) (2022)

3. Acampora, G., Vitiello, A., Di Stefano, B., van der Aalst, W.M.P., Günther, C., Verbeek, E.: IEEE 1849: the XES standard. In: IEEE Computational Intelligence Magazine (2017)

4. Agostinelli, S., Benvenuti, D., De Luzi, F., Marrella, A.: Big data pipeline discovery through process mining: challenges and research directions. In: 1st Italian Forum on Business Process Management, Co-located with BPM 2021 (2021)

5. Augusto, A., et al.: Automated discovery of process models from event logs: review and benchmark. IEEE TKDE 31(4), 686–705 (2018)

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