Discovery of Object-Centric Declarative Models

Christfort, A. K. F., Rivkin, A., Fahland, D., Hildebrandt, T. T. & Slaats, T., 2024, Proceedings - 2024 6th International Conference on Process Mining, ICPM 2024. Lu, X., Pufahl, L. & Song, M. (red.). IEEE, s. 137-144 8 s.

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Improving Simplicity by Discovering Nested Groups in Declarative Models

Cosma, V. P., Christfort, A. K. F., Hildebrandt, T. T., Lu, X., Reijers, H. A. & Slaats, T., 2024, Advanced Information Systems Engineering - 36th International Conference, CAiSE 2024, Proceedings. Guizzardi, G., Santoro, F., Mouratidis, H. & Soffer, P. (red.). Springer, s. 440-455 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14663 LNCS).

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Efficient Optimal Alignment Between Dynamic Condition Response Graphs and Traces

Christfort, A. K. F. & Slaats, T., 2023, Business Process Management - 21st International Conference, BPM 2023, Proceedings. Di Francescomarino, C., Burattin, A., Janiesch, C. & Sadiq, S. (red.). Springer, s. 3-19 17 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14159 LNCS).

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Improving Declarative Process Mining with a Priori Noise Filtering

Christfort, A. K. F., Debois, S. & Slaats, T., 2023, Business Process Management Workshops - BPM 2022 International Workshops, Revised Selected Papers. Cabanillas, C., Garmann-Johnsen, N. F. & Koschmider, A. (red.). Springer, s. 286-297 (Lecture Notes in Business Information Processing, Bind 460 LNBIP).

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