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Disambiguation of "Aalst, W.M.P. van der"

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Multidimensional Process Mining Using Process Cubes

, and . Enterprise, Business-Process and Information Systems Modeling (BPMDS 2015), volume 214 of Lecture Notes in Business Information Processing, page 102--116. Springer-Verlag, Berlin, (2015)

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Denise ˜vanœ Aalst

Wil M. P. van der Aalst

Stefaan Van der Vekens

Christian van der Linde

Christian van der Steeg

 

Other publications of authors with the same name

BPM Use Cases � Structuring the Business Process Management Discipline, , and . Software and Systems Modeling, 6 (5): 309--310 (2014)Creating Sound and Reversible Configurable Process Models Using CoSeNets, , , and . Business Information Systems (BIS 2012), volume 117 of Lecture Notes in Business Information Processing, page 24--35. Springer-Verlag, Berlin, (2012)Generating Event Logs with Workload-Dependent Speeds from Simulation Models, , and . Advanced Information Systems Engineering Workshops, volume 112 of Lecture Notes in Business Information Processing, page 383--397. Springer-Verlag, Berlin, (2012)Detecting Changes in Processes Using Comparative Trace Clustering, , , , and . Proceedings of the 5th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2015), volume 1527 of CEUR Workshop Proceedings, page 95--108. CEUR-WS.org, (2015)Using Domain Knowledge to Enhance Process Mining Results, , , , and . IFIP International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2015), volume 244 of Lecture Notes in Business Information Processing, page 76--104. Springer-Verlag, Berlin, (2017)Big Software on the Run: In Vivo Software Analytics Based on Process Mining. Proceedings of the 2015 International Conference on Software and System Process (ICSSP 2015), page 1-5. ACM Press, New York, NY, USA, (2015)YAWL in the Cloud, , , and . Proceedings of the First YAWL Symposium (YAWL 2013), volume 982 of CEUR Workshop Proceedings, page 41--48. CEUR-WS.org, (2013)Workflow Patterns. Encyclopedia of Database Systems, Springer-Verlag, Berlin, (2018)BIpm: Combining BI and Process Mining, , and . International Conference on Data Science, Technology and Applications (DATA 2019), page 123--128. Prague, Czech Republic, SciTePress, (2019)Extracting Event Data from Databases to Unleash Process Mining. (2014)European BPM Roundtable, Liechtenstein.