Decision Support
In the research area "Decision Support", we develop theories, methods, techniques, and software tools to improve decisions made by stakeholders of information systems with respect to business performance metrics (e.g., costs).
To achieve this goal, we particularly rely on analytical, data-driven approaches to extract valuable insights from underlying data for decision support.
Example areas:
- Decision Support Systems
- Predictive Analytics
- Prescriptive Analytics
- Process Analytics
- Visual Analytics
Projects:
AutoCoP: Automated Content-Provisioning through smart control systems
Ein reißender Strom an Zustandsdaten ist das Nebenprodukt moderner Industrieanlagen in der Digitalen Fabrik. Dieser Datenstrom ist Antrieb für digitale industrielle Dienstleistungssysteme, die auf der zeitnahen Datenauswertung fußen. So haben Forscher und Entwickler in Betrieben und an Universitäten zahlreiche Methoden und Techniken für die vorausschauende Wartung von Anlagen entwickelt. Für den klassischen industriellen Aufgabenbereich der Technischen Dokumentation, welche durch die Komplexität modern…
Publications:
Conference Contributions
- , , , , :
A method for predicting workarounds in business processes
Pacific Asia Conference on Information Systems (Taipei-Sydney, 5. July 2022 - 9. July 2022)
In: Proceedings of the 25th Pacific Asia Conference on Information Systems 2022 - , , , , :
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints
European Conference on Information Systems (Timisoara, 5. July 2022 - 9. July 2022)
In: Proceedings of the 30th European Conference on Information Systems 2022 - :
Designing a Method for Resource-specific Next Activity Prediction
Pacific Asia Conference on Information Systems (PACIS) (Taipei - Sydney // Virtual, 5. July 2022 - 9. July 2022)
In: Proceedings of the 25th Pacific Asia Conference on Information Systems 2022 - , , , , :
Predictive business process deviation monitoring
European Conference on Information Systems (Marrakesch)
In: Proceedings of the 29th European Conference on Information Systems 2021 - , , , , , :
Bringing light into the darkness - A systematic literature review on explainable predictive business process monitoring techniques
European Conference on Information Systems (Marrakesch)
In: Proceedings of the 29th European Conference on Information Systems 2021 - , , , :
Prescriptive business process monitoring for recommending next best actions
International Conference on Business Process Management (Sevilla, 13. September 2020 - 18. September 2020)
In: Proceedings of the 18th International Conference on Business Process Management Forum 2020
DOI: 10.1007/978-3-030-58638-6_12
URL: https://link.springer.com/content/pdf/10.1007/978-3-030-58638-6_12.pdf - , , , :
A next click recommender system for web-based service analytics with context-aware LSTMs
Hawaii International Conference on System Sciences (Grand Wailea, Maui, Hawaii, 7. January 2020 - 10. January 2020)
In: Proceedings of the 53rd Hawaii International Conference on System Sciences 2020
DOI: 10.24251/HICSS.2020.190
URL: http://hdl.handle.net/10125/63929 - , , , , :
From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events
Internationale Tagung Wirtschaftsinformatik (Potsdam, 8. March 2020 - 11. March 2020)
In: Proceedings of the 15th International Conference on Wirtschaftsinformatik 2020
DOI: 10.30844/wi_2020_c12-weinzierl
URL: https://library.gito.de/open-access-pdf/C12_Prescriptive_process_monitoring_-_a_technique_for_determining_next_best_actions_resub.pdf - , , , , , :
XNAP: Making LSTM-based next activity predictions explainable by using LRP
International Conference on Business Process Management (Sevilla, 13. September 2020 - 18. September 2020)
In: Proceedings of the BPM 2020 International Workshops. 2020
DOI: 10.1007/978-3-030-66498-5_10