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A Probabilistic Approach to Event-Case Correlation for Process Mining.

, , , and . ER, volume 11788 of Lecture Notes in Computer Science, page 136-152. Springer, (2019)

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Improving Accuracy and Explainability in Event-Case Correlation via Rule Mining., , , and . ICPM, page 24-31. IEEE, (2022)Deducing Case IDs for Unlabeled Event Logs., , , , and . Business Process Management Workshops, volume 256 of Lecture Notes in Business Information Processing, page 242-254. Springer, (2015)Event-case correlation for process mining using probabilistic optimization., , and . Inf. Syst., (March 2023)Correlating Unlabeled Events from Cyclic Business Processes Execution., , and . CAiSE, volume 9694 of Lecture Notes in Computer Science, page 274-289. Springer, (2016)A Probabilistic Approach to Event-Case Correlation for Process Mining., , , and . ER, volume 11788 of Lecture Notes in Computer Science, page 136-152. Springer, (2019)Knowledge Graph Supported Machine Parameterization for the Injection Moulding Industry., , , , and . KGSWC, volume 1686 of Communications in Computer and Information Science, page 106-120. Springer, (2022)Analyzing Manufacturing Process By Enabling Process Mining on Sensor Data., , , , , and . PoEM Workshops, volume 3298 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Event-Case Correlation for Process Mining using Probabilistic Optimization., , and . CoRR, (2022)Visualizing Business Process Evolution., , , and . BPMDS/EMMSAD@CAiSE, volume 387 of Lecture Notes in Business Information Processing, page 185-192. Springer, (2020)Multi-perspective Process Analysis: Mining the Association Between Control Flow and Data Objects., , and . CAiSE, volume 13295 of Lecture Notes in Computer Science, page 72-89. Springer, (2022)