Christoph Drodt
Forschungsgruppe Process Science, Universität Koblenz
- 0261/287-2535
0000-0002-4682-8036
Drodt, Christoph
Ensemble Predictive Process Mining - Taking Predictive Process Mining to the Next LevelBenoît Depaire; Johannes De Smedt; Marlon Dumas; Dirk Fahland; Akhil Kumar; Henrik Leopold; Manfred Reichert; Stefanie Rinderle-Ma; Stefan Schulte; Stefan Seidel; Wil van der Aalst (Hrsg). Proceedings of the Dissertation Award, Doctoral Consortium, and Demonstration Track at BPM 2019 co-located with 17th International Conference on Business Process Management BPM 2019: Vienna, Austria, September 1-6, 2019. Aachen: CEUR/RWTH 2019 S. 97 - 101
Drodt, Christoph; Reuther, Mike
Predicting User Interaction in Enterprise Social Systems Using Process MiningGuillermo Rodriguez-Abitia; Carlos Ferran; Martin Santana; Ramiro Montealegre (Hrsg). Proceedings of the 25th Americas Conference on Information Systems AMCIS 2019 - "New Frontiers in Digital Convergence": August 15-17; 2019; Cancun, Mexico. Atlanta, GA: Association for Information Systems/AIS eLibrary 2019 S. 2784 - 2793