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Institut für Wirtschafts- und Verwaltungsinformatik

FB 4: Informatik / Universität Koblenz

Universitätsstraße 1, 56070 Koblenz
  • 0261/2872646
  • 0261/2871002646
Publikationen
Ergebnisse pro Seite:  10

Corea, Carl; Fellmann, Michael; Delfmann, Patrick

Ontology-Based Process Modelling - Will We Live to See It?

ER. 2021 S. 36 - 46


Corea, Carl; Fellmann, Michael; Delfmann, Patrick

Ontology-Based Process Modelling - Will we live to see it? (Extended Abstract).

EMISA Forum. Bd. 41. H. 1. 2021 S. 21 - 22


Unruh, Elina; Delfmann, Patrick; Thimm, Matthias

Quantitative Deadlock Analysis in Petri Nets using Inconsistency Measures.

CBI (1). 2021 S. 42 - 51


Ronzhyn, Alexander; Wimmer, Maria A.

Research directions in policy modeling: Insights from comparative analysis of recent projects

Data & Policy. Bd. 3. Cambridge: Cambridge University Press 2021 S. e13


Antoschin, Roman; Wimmer, Maria A.

Smart Cities: Practitioners’ Understanding and Expectations: Results from a Qualitative Study in the City of Koblenz

Euripidis Loukis;Marie Anne Macadar;Morten Meyerhoff-Nielsen;Mário Peixoto (Hrsg). Proceedings of the 14th International Conference on Theory and Practice of Electronic Governance ICEGOV 2021: 6-8 October 2021; Athens, Greece. New York, NY: ACM Association for Computing Machinery 2021 S. 406 - 413





Drodt, Christoph; Weinzierl, Sven; Matzner, Martin et al.

The Recomminder: A decision support tool for Predictive Business Process Monitoring

Wil M. P. van der Aalst; Remco Dijkman; Akhil Kumar; Francesco Leotta; Fabrizio Maria Maggi; Jan Mendling; Brian Pentland; Arik Senderovich; Marcos Sepúlveda; Estefanía Serral Asensio; Mathias Weske (Hrsg). Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2021 co-located with 19th International Conference on Business Process Management BPM 2021: Rome, Italy; September 6th to 10th, 2021. Aachen: CEUR/RWTH 2021 S. 131 - 135


Drodt, Christoph; Weinzierl, Sven; Matzner, Martin et al.

The Recomminder: A decision support tool for Predictive Business Process Monitoring.

BPM (PhD/Demos). 2021 S. 131 - 135