Author:
Sani Mohammadreza Fani,van Zelst Sebastiaan J.,van der Aalst Wil M. P.
Publisher
Springer International Publishing
Reference22 articles.
1. van der Aalst, W.M.P.: Process Mining - Data Science in Action, 2nd edn. Springer, Heidelberg (2016)
2. Maruster, L., Weijters, A.J.M.M., van der Aalst, W.M.P., van den Bosch, A.: A rule-based approach for process discovery: dealing with noise and imbalance in process logs. Data Min. Knowl. Discov. 13(1), 67–87 (2006)
3. Van der Aalst, W.M., van Dongen, B.F., Günther, C.W., Rozinat, A., Verbeek, E., Weijters, T.: Prom: The process mining toolkit. BPM (Demos) 489(31) (2009)
4. van der Aalst, W.M.P., Bolt, A., van Zelst, S.J.: RapidProM: Mine your processes and not just your data. CoRR abs/1703.03740 (2017)
5. van Zelst, S., van Dongen, B., van der Aalst, W., Verbeek, H.: Discovering Relaxed Sound Workflow Nets using Integer Linear Programming. arXiv preprint arXiv:1703.06733 (2017)
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