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Christoph Drodt
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2020 – today
- 2023
- [c6]Christoph Drodt, Sven Weinzierl, Martin Matzner, Patrick Delfmann:
Predictive Recommining: Learning Relations Between Event Log Characteristics and Machine Learning Approaches for Supporting Predictive Process Monitoring. CAiSE Forum 2023: 69-76 - 2022
- [c5]Eric Amann, Carl Corea, Christoph Drodt, Patrick Delfmann:
A Dashboard Creator Suite for Simultaneous Predictive Process Monitoring. BPM (PhD/Demos) 2022: 152-156 - [p1]Patrick Delfmann, Dennis M. Riehle, Steffen Höhenberger, Carl Corea, Christoph Drodt:
The Diagramed Model Query Language 2.0: Design, Implementation, and Evaluation. Process Querying Methods 2022: 115-148 - 2021
- [c4]Christoph Drodt, Sven Weinzierl, Martin Matzner, Patrick Delfmann:
The Recomminder: A decision support tool for Predictive Business Process Monitoring. BPM (PhD/Demos) 2021: 131-135 - [c3]Nico Bartmann, Stefan Hill, Carl Corea, Christoph Drodt, Patrick Delfmann:
Applied Predictive Process Monitoring and Hyper Parameter Optimization in Camunda. CAiSE Forum 2021: 129-136
2010 – 2019
- 2019
- [c2]Christoph Drodt, Mike Reuther:
Predicting User Interaction in Enterprise Social Systems Using Process Mining. AMCIS 2019 - [c1]Christoph Drodt:
Ensemble Predictive Process Mining - Taking Predictive Process Mining to the Next Level. BPM (PhD/Demos) 2019: 97-101
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last updated on 2025-01-09 12:47 CET by the dblp team
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