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A Framework to Evaluate and Compare Decision-Mining Techniques.

, , and . Business Process Management Workshops, volume 342 of Lecture Notes in Business Information Processing, page 482-493. Springer, (2018)

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A comparative study of existing quality measures for process discovery., , , and . Inf. Syst., (2017)A Framework to Evaluate and Compare Decision-Mining Techniques., , and . Business Process Management Workshops, volume 342 of Lecture Notes in Business Information Processing, page 482-493. Springer, (2018)An Integrated Framework for Process Discovery Algorithm Evaluation., , , , and . CoRR, (2018)PTandLogGenerator: A Generator for Artificial Event Data., and . BPM (Demos), volume 1789 of CEUR Workshop Proceedings, page 23-27. CEUR-WS.org, (2016)Calculating the Number of Unique Paths in a Block-Structured Process Model., , and . ATAED@Petri Nets/ACSD, volume 1592 of CEUR Workshop Proceedings, page 138-152. CEUR-WS.org, (2016)An Improved Way for Measuring Simplicity During Process Discovery., , , and . EOMAS@CAiSE, volume 332 of Lecture Notes in Business Information Processing, page 49-62. Springer, (2018)Measuring the Quality of Models with Respect to the Underlying System: An Empirical Study., , , and . BPM, volume 9850 of Lecture Notes in Computer Science, page 73-89. Springer, (2016)A Methodology for Generating Artificial Event Logs to Compare Process Discovery Techniques., , and . SIMPDA, volume 1293 of CEUR Workshop Proceedings, page 174-178. CEUR-WS.org, (2014)Generating Artificial Data for Empirical Analysis of Control-flow Discovery Algorithms - A Process Tree and Log Generator., and . Bus. Inf. Syst. Eng., 61 (6): 695-712 (2019)Building a valuable event log for process mining: an experimental exploration of a guided process., , and . Enterp. Inf. Syst., 13 (5): 601-630 (2019)