Forschungsgruppe Process Science
Institut für Wirtschafts- und Verwaltungsinformatik / Universität Koblenz
Corea, Carl; Delfmann, Patrick; Nagel, Sabine
Towards Intelligent Chatbots for Customer Care - Practice-Based Requirements for a Research Agenda.HICSS. 2020 S. 1 - 10
Corea, Carl; Blatt, Jonas; Delfmann, Patrick
A Tool for Decision Logic Verification in DMN Decision Tables.BPM (PhD/Demos). 2019 S. 169 - 173
Nagel, Sabine; Corea, Carl; Delfmann, Patrick
Effects of Quantitative Measures on Understanding Inconsistencies in Business Rules.HICSS. 2019 S. 1 - 10
Drodt, Christoph
Ensemble Predictive Process Mining - Taking Predictive Process Mining to the Next Level.BPM (PhD/Demos). 2019 S. 97 - 101
Drodt, Christoph; Reuther, Mike
Predicting User Interaction in Enterprise Social Systems Using Process Mining.AMCIS. 2019
Delfmann, Patrick
Predictive Analytics of Winter Sports Processes Using Probabilistic Finite Automata.The Art of Structuring. 2019 S. 179 - 189
Corea, Carl; Delfmann, Patrick
Quasi-Inconsistency in Declarative Process Models.BPM Forum. 2019 S. 20 - 35
Corea, Carl; Deisen, Matthias; Delfmann, Patrick
Resolving Inconsistencies in Declarative Process Models based on Culpability Measurement.Wirtschaftsinformatik. 2019 S. 139 - 153
Scholta, Hendrik; Niemann, Marco; Delfmann, Patrick et al.
Semi-automatic inductive construction of reference process models that represent best practices in public administrations: A method.Inf. Syst. Bd. 84. 2019 S. 63 - 87
Brunk, Jens; M. Riehle, Dennis; Delfmann, Patrick
Prediction of Customer Movements in Large Tourism Industries by the Means of Process Mining.ECIS. 2018 S. 40