Non-Automata Based Conformance Checking of Declarative Process Specifications Based on ASP
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50974-2_30
Reference27 articles.
1. van der Aalst, W.M.: Process mining: a 360 degree overview. In: van der Aalst, W.M.P., Carmona, J. (eds.) Process Mining Handbook. LNBIP, vol. 448, pp. 3–34. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-08848-3_1
2. Carmona, J., van Dongen, B., Weidlich, M.: Conformance checking: foundations, milestones and challenges. In: van der Aalst, W.M.P., Carmona, J. (eds.) Process Mining Handbook. LNBIP, vol. 448, pp. 155–190. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-08848-3_5
3. Chiariello, F., Maggi, F.M., Patrizi, F.: Asp-based declarative process mining. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 5539–5547 (2022)
4. Di Ciccio, C., Montali, M.: Declarative process specifications: reasoning, discovery, monitoring. In: van der Aalst, W.M.P., Carmona, J. (eds.) Process Mining Handbook. LNBIP, vol. 448, pp. 108–152. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-08848-3_4
5. Di Ciccio, C., Maggi, F.M., Montali, M., Mendling, J.: Resolving inconsistencies and redundancies in decl. process models. Inf. Syst. 64, 425–446 (2017)
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