Generating Artificial Data for Empirical Analysis of Control-flow Discovery Algorithms

Overview of attention for article published in Business & Information Systems Engineering, April 2018

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RT @GJanssenswillen: @profBPM Process Tree and log generator by @tnjouck https://t.co/D3WvD6r1Zt - available in ProM and PM4Py. Used for an…

RT @businf_uhasselt: Are you a researcher in #processmining and are looking for a solution to create artificial event logs? This might help…

Are you a researcher in #processmining and are looking for a solution to create artificial event logs? This might help you out.

@profBPM Process Tree and log generator by @tnjouck https://t.co/D3WvD6r1Zt - available in ProM and PM4Py. Used for analyses of conformance checking in my PhD of which resources can be found here: https://t.co/JVISMS1PEc

We published a new article titled "Generating Artificial Data for Empirical Analysis of Control-flow Discovery Algorithms": https://t.co/IjKQ4FzB1t