• Skip navigation
  • Skip to navigation
  • Skip to the bottom
Simulate organization breadcrumb open Simulate organization breadcrumb close
Friedrich-Alexander-Universität Chair of Digital Industrial Service Systems WISO
  • FAUTo the central FAU website
  1. Friedrich-Alexander-Universität
  2. Fachbereich Wirtschafts- und Sozialwissenschaften
Suche öffnen
  • Deutsch
  • Process Mining Software Comparison
  1. Friedrich-Alexander-Universität
  2. Fachbereich Wirtschafts- und Sozialwissenschaften
Friedrich-Alexander-Universität Chair of Digital Industrial Service Systems WISO
Navigation Navigation close
  • Home
  • Teaching
  • Research
  • Practice
  • Team
  • How To Find Us
  • Open Positions
  1. Home
  2. Research
  3. Decision Support

Decision Support

In page navigation: Research
  • Service Systems
  • Decision Support
    • Automated Content-Provisioning through smart control systems
  • Information Management
  • Business Process Management
  • Further research (Chair of Digital Industrial Service Systems)

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:

Term: 1. January 2018 - 31. December 2019
Funding source: Bayerische Staatsministerien, andere Förderorganisation
Project leader: Martin Matzner
Martin Matzner

Prof. Dr. Martin Matzner

  • Twitter: Page of Martin Matzner
  • Facebook: Page of Martin Matzner
  • LinkedIn: Page of Martin Matzner
  • Instagram: Page of Martin Matzner
  • Xing: Page of Martin Matzner
  • Google Scholar: Page of Martin Matzner
  • ORCID: Page of Martin Matzner

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…

→ More information

Term: 1. April 2023 - 31. March 2025
Funding source: Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR)
Project leader: Annina Ließmann
Annina Ließmann

Annina Ließmann, M. Sc.

→ More information

Publications:

  • Kraus M., Tschernutter D., Weinzierl S., Zschech P.:
    Interpretable generalized additive neural networks
    In: European Journal of Operational Research (2024)
    ISSN: 0377-2217
    DOI: 10.1016/j.ejor.2023.06.032
    URL: https://www.sciencedirect.com/science/article/pii/S0377221723005027

  • Roider J., Wang W., Zanca D., Matzner M., Eskofier B.:
    Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values
    6th International Conference on Process Mining (Technical University of Denmark, 14. October 2024 - 18. October 2024)
    In: Andrea Delgado, Tijs Slaats (ed.): Process Mining Workshops 2024
    DOI: 10.1007/978-3-031-82225-4_17
  • Weinzierl S., Zilker S., Brunk J., Revoredo K., Matzner M., Becker J.:
    Context-aware explanations of accurate predictions in service processes
    Hawaii International Conference on System Sciences (Waikiki, Honolulu, Hawaii)
    In: Proceedings of the 57th Hawaii International Conference on System Sciences 2024
  • Ließmann A., Wang W., Weinzierl S., Zilker S., Matzner M.:
    Transfer Learning for Predictive Process Monitoring
    European Conference on Information Systems (Paphos, Cyprus)
    In: Proceedings of the 32nd European Conference on Information Systems 2024
  • Arnold S., Yesilbas D., Weinzierl S.:
    Driving context into text-to-text privatization
    Annual Meeting of the Association for Computational Linguistics (Toronto)
    In: Association for Computational Linguistics (ed.): Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing 2023
    DOI: 10.18653/v1/2023.trustnlp-1.2
    URL: https://aclanthology.org/2023.trustnlp-1.2
  • Arnold S., Yesilbas D., Weinzierl S.:
    Guiding text-to-text privatization by syntax
    Annual Meeting of the Association for Computational Linguistics (Toronto)
    In: Association for Computational Linguistics (ed.): Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing 2023
    DOI: 10.18653/v1/2023.trustnlp-1.14
    URL: https://aclanthology.org/2023.trustnlp-1.14/
  • Zilker S., Weinzierl S., Zschech P., Kraus M., Matzner M.:
    Best of both worlds: Combining predictive power with interpretable and explainable results for patient pathway prediction
    European Conference on Information Systems (Kristiansand, 13. June 2023 - 16. June 2023)
    In: Proceedings of the 31st European Conference on Information Systems 2023
    DOI: 10.25593/open-fau-1123
    URL: https://open.fau.de/bitstreams/c8ea3d7e-7fb9-4932-9828-501af75d1f89/download
  • Harl M., Herchenbach M., Kruschel S., Hambauer N., Zschech P., Kraus M.:
    A Light in the Dark: Deep Learning Practices for Industrial Computer Vision
    In: Proceedings of the 17th International Conference on Wirtschaftsinformatik (WI) 2022
    Open Access: https://aisel.aisnet.org/wi2022/student_track/student_track/33/
    URL: https://aisel.aisnet.org/wi2022/student_track/student_track/33/
  • Zschech P., Weinzierl S., Hambauer N., Zilker S., Kraus M.:
    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
  • Zilker S.:
    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
  • Cabrera Pérez L., Weinzierl S., Zilker S., Matzner M.:
    Text-aware predictive process monitoring with contextualized word embeddings
    International Conference on Business Process Management (Münster)
    In: Proceedings of the BPM 2022 International Workshops 2022
    DOI: 10.1007/978-3-031-25383-6_22
  • Stierle M., Brunk J., Weinzierl S., Zilker S., Matzner M., Becker J.:
    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
  • Weinzierl S., Dunzer S., Tenschert J., Zilker S., Matzner M.:
    Predictive business process deviation monitoring
    European Conference on Information Systems (Marrakesch)
    In: Proceedings of the 29th European Conference on Information Systems 2021
  • Weinzierl S., Dunzer S., Zilker S., Matzner M.:
    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
  • Weinzierl S., Stierle M., Zilker S., Matzner M.:
    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
  • Weinzierl S., Zilker S., Brunk J., Revoredo K., Matzner M., Becker J.:
    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
  • Weinzierl S., Zilker S., Stierle M., Park G., Matzner M.:
    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
FAU Erlangen-Nürnberg
Chair of Digital Industrial Service Systems

Fürther Str. 248
90429 Nürnberg
  • Login
  • Imprint
  • Privacy
  • Accessibility
  • Facebook
  • Twitter
  • Instagram
Up