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Aggregating Event Knowledge Graphs for Task Analysis.

, , and . ICPM Workshops, volume 468 of Lecture Notes in Business Information Processing, page 493-505. Springer, (2022)

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Storing and Querying Multi-dimensional Process Event Logs Using Graph Databases., and . Business Process Management Workshops, volume 362 of Lecture Notes in Business Information Processing, page 632-644. Springer, (2019)Multi-Dimensional Event Data in Graph Databases., and . J. Data Semant., 10 (1-2): 109-141 (2021)Process-Mining: Prozessanalyse mit Ereignisdaten.. Prozessmanagement und Process-Mining - Grundlagen, De Gruyter, (2021)How well can large language models explain business processes?, , , , and . CoRR, (2024)Defining meaningful Local Process Models., , and . ATAED@Petri Nets, volume 2625 of CEUR Workshop Proceedings, page 6-19. CEUR-WS.org, (2020)Process Discovery Using Graph Neural Networks., , and . ICPM, page 40-47. IEEE, (2021)Classifying and Detecting Task Executions and Routines in Processes Using Event Graphs., , and . BPM (Forum), volume 427 of Lecture Notes in Business Information Processing, page 212-229. Springer, (2021)Scalable alignment of process models and event logs: An approach based on automata and S-components., , , , , and . Inf. Syst., (2020)Supervised learning of process discovery techniques using graph neural networks., , and . Inf. Syst., (May 2023)Defining Meaningful Local Process Models., , and . Trans. Petri Nets Other Model. Concurr., (2022)