An Approach-Based on Allen’s Interval Algebra to Provision Resources for Disrupted Business Processes
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36597-3_1
Reference19 articles.
1. Alessandro, S., Davide, A., Elisabetta, B., Riccardo, D., Valeria, M.: A data-driven methodology for supporting resource planning of health services. Socio-Econ. Plan. Sci. 70, 100744 (2020)
2. Allen, J.: Maintaining knowledge about temporal intervals. Commun. ACM 26(11), 832–843 (1983)
3. Ayoub, A., Elgammal, A.: Utilizing twitter data for identifying and resolving run-time business process disruptions. In: Proceedings of OTM Confederated International Conferences “On the Move to Meaningful Internet Systems” (OTM 2018), Valletta, Malta (2018)
4. Delcoucq, L., Lecron, F., Fortemps, P., van der Aalst, W.M.: Resource-centric process mining: clustering using local process models. In: Proceedings of the 35th Annual ACM Symposium on Applied Computing (SAC 2020) (2020)
5. van Dongen, B.: BPI Challenge 2017 (2017). https://data.4tu.nl/articles/dataset/BPI/_Challenge/_2017/12696884
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