Prof. Dr. Martin Matzner

Lehrstuhl für Digital Industrial Service Systems

Predictive Recommining: Learning relations between event log characteristics and machine learning approaches for supporting predictive process monitoring (2023) Drodt C, Weinzierl S, Matzner M, Delfmann P Conference contribution, Conference Contribution Best of both worlds: Combining predictive power with interpretable and explainable results for patient pathway prediction (2023) Zilker S, Weinzierl S, Zschech P, Kraus M, Matzner M Conference contribution, Conference Contribution Detecting temporal workarounds in business processes – A deep-learning-based method for analysing event log data (2022) Weinzierl S, Wolf V, Pauli T, Beverungen D, Matzner M Journal article, Original article Predictive end-to-end enterprise process network monitoring (2022) Oberdorf F, Schaschek M, Weinzierl S, Stein N, Matzner M, Flath C Journal article, Original article A method for predicting workarounds in business processes (2022) Weinzierl S, Bartelheimer C, Zilker S, Beverungen D, Matzner M Conference contribution, Conference Contribution Capabilities of digital servitization: Evidence from the socio-technical systems theory (2022) Münch C, Marx E, Benz L, Hartmann E, Matzner M Journal article Text-aware predictive process monitoring with contextualized word embeddings (2022) Cabrera Pérez L, Weinzierl S, Zilker S, Matzner M Conference contribution, Conference Contribution Unleashing Digital Process Innovation with Process Mining: Designing a Training Concept with Action Design Research (2022) Joas A, Matzner M Conference contribution, Conference Contribution Project Management as a B2B Service in the automotive development process (2022) Reiche F, Schmidtner M, Marx E, Matzner M, Timinger H Conference contribution, Conference Contribution Process Mining for Advanced Service Analytics – From Process Efficiency to Customer Encounter and Experience (2022) Zilker S, Marx E, Stierle M, Matzner M Conference contribution, Conference Contribution