Lehrstuhl für Digital Industrial Service Systems

Design Principles for Comprehensible Process Discovery in Process Mining (2020) Stierle M, Zilker S, Dunzer S, Tenschert J, Karagegova G Conference contribution Detecting workarounds in business processes — A deep learning method for analyzing event logs (2020) Weinzierl S, Wolf V, Pauli T, Beverungen D, Matzner M Conference contribution, Conference Contribution Leveraging Industrial IoT Platform Ecosystems: Insights from the Complementors' Perspective (2020) Pauli T, Marx E, Matzner M Conference contribution, Conference Contribution Closing the gap between smart manufacturing applications and data management (2020) Marx E, Stierle M, Weinzierl S, Matzner M Conference contribution, Conference Contribution From Services to Smart Services: Can Service Engineering Methods get Smarter as well? (2020) Marx E, Pauli T, Fielt E, Matzner M Conference contribution, Conference Contribution From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events (2020) Weinzierl S, Zilker S, Stierle M, Park G, Matzner M Conference contribution, Conference Contribution A next click recommender system for web-based service analytics with context-aware LSTMs (2020) Weinzierl S, Stierle M, Zilker S, Matzner M Conference contribution, Original article Speech-Act-Based Adaptive Case Management (2019) Tenschert J Thesis The Generativity of Industrial IoT Platforms: Beyond Predictive Maintenance? (2019) Pauli T, Lin Y Conference contribution, Conference Contribution Conceptualizing Smart Service Systems (2019) Beverungen D, Müller O, Matzner M, Mendling J, vom Brocke J Journal article, other