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

Author:

Jouck Toon,Depaire Benoît

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Reference38 articles.

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2. Box GE, Hunter JS, Hunter WG (2005) Statistics for experimenters: design, innovation, and discovery, vol 2. Wiley, New York. http://stats.cwslive.wiley.com/details/book/2791421/Statistics-for-Experimenters-Design-Innovation-and-Discovery-2nd-Edition.html . Accessed 16 Jan 2017

3. Buijs JCAM (2014) Flexible evolutionary algorithms for mining structured process models. PhD thesis, Technische Universiteit Eindhoven, Eindhoven. http://alexandria.tue.nl/extra2/780920.pdf . Accessed 23 Feb 2015

4. Burattin A (2015) PLG2: Multiperspective processes randomization and simulation for online and offline settings. Tech. rep., University of Innsbruck. https://arxiv.org/abs/1506.08415 . Accessed 28 July 2016

5. Burattin A, Sperduti A (2011) PLG: a framework for the generation of business process models and their execution logs. In: business process management workshops, Springer, Heidelberg, pp 214–219. http://link.springer.com/chapter/10.1007/978-3-642-20511-8sps20 . Accessed 06 Jan 2015

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