Matthias Stierle


Lehrstuhl für Digital Industrial Service Systems

Preise / Auszeichnungen

2019 : MobIS Challenge: Model-Based Compliance in Information Systems

Mitarbeit in Forschungsprojekten

Bayessche Vorhersagemodelle auf Basis von Kontextinformationen für das Monitoring von Geschäftsprozessen
Prof. Dr. Martin Matzner
(06.03.2018 - 31.12.2018)

SSI: Sustainable Smart Industry
Prof. Dr. Kai-Ingo Voigt
(01.01.2017 - 31.12.2019)

RISE_BPM: Propelling Business Process Management by Research and Innovation Staff Exchange
Prof. Dr. Martin Matzner
(01.05.2015 - 30.04.2019)

Publikationen ()

Dunzer, S., Stierle, M., Matzner, M., & Baier, S. (2019). Conformance checking: A state-of-the-art literature review. (Unpublished, Accepted).
Nakladal, J., Geyer-Klingeberg, J., Stierle, M., & Matzner, M. (2019). From Technical Product Training to Sustainable Education for Students — A Strategic Alliance Approach to Applied MOOCs. In Proceedings of Work in Progress Papers of the Research, Experience and Business Tracks at EMOOCs 2019 (pp. 254-260). Naples, IT.
Brunk, J., Revoredo, K., Stierle, M., Matzner, M., Delfmann, P., & Becker, J. (2018). Prediction of business process instances with dynamic Bayesian networks. In Paolo Ceravolo and López M. Teresa Gómez and Keulen Maurice Van (Eds.), Proceedings of the 8th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2018) (pp. 50-54). Sevilla, ES: CEUR-WS.

Zuletzt aktualisiert 2017-30-05 um 13:18