Publications

Publications AS: GSaME-NFG      Change to grouping by type

• Schreier, Ulf; Reimann, Peter; Mitschang, Bernhard: A Kanban-based Approach to Manage Machine Learning Projects in Manufacturing. In: Procedia CIRP: Proceedings of the 58th CIRP Conference on Manufacturing Systems (CIRP CMS). Vol. 134, Elsevier, 2025.

• Ackermann, Thomas; Miehe, Robert; Reimann, Peter; Mitschang, Bernhard; Takors, Ralf; Bauernhansl, Thomas: A Cross-Disciplinary Training Concept for Future Technologists in the Dawn of Biointelligent Production Systems. In: Procedia CIRP: Proceedings of 13th CIRP Conference on Learning Factories (CIRP CLF), 2023.
• Hirsch, Vitali; Reimann, Peter; Treder-Tschechlov, Dennis; Schwarz, Holger; Mitschang, Bernhard: Exploiting Domain Knowledge to address Class Imbalance and a Heterogeneous Feature Space in Multi-Class Classification. In: International Journal on Very Large Data Bases (VLDB-Journal), Springer, 2023.
• Treder-Tschechlov, Dennis; Reimann, Peter; Schwarz, Holger; Mitschang, Bernhard: Approach to Synthetic Data Generation for Imbalanced Multi-class Problems with Heterogeneous Groups. In: Tagungsband der 20. Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2019), 2023.
• Villanueva Zacarias, Alejandro Gabriel; Reimann, Peter; Weber, Christian; Mitschang, Bernhard: AssistML: An Approach to Manage, Recommend and Reuse ML Solutions. In: International Journal of Data Science and Analytics (JDSA), Springer Nature, 2023.
• Voggesberger, Julius; Reimann, Peter; Mitschang, Bernhard: Towards the Automatic Creation of Optimized Classifier Ensembles. In: Proceedings of the 25th International Conference on Enterprise Information Systems (ICEIS 2023).
• Wilhelm, Yannick; Reimann, Peter; Gauchel, Wolfgang; Klein, Steffen; Mitschang, Bernhard: PUSION- A Generic and Automated Framework for Decision Fusion. In: Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE 2023).

• Hermann, Florian; Chen, Bowen; Ghasemi, Golsa; Stegmaier, Valentin; Ackermann, Thomas; Reimann, Peter; Vogt, Sabrina; Graf, Thomas; Weyrich, Michael: A Digital Twin Approach for the Prediction of the Geometry of Single Tracks Produced by Laser Metal Deposition. In: Procedia CIRP: Proceedings of the 55th CIRP Conference on Manufacturing Systems (CIRP CMS 2022).
• Spieß, Marco; Reimann, Peter; Weber, Christian; Mitschang, Bernhard: Analysis of Incremental Learning andWindowing to handle Combined Dataset Shifts on Binary Classification for Product Failure Prediction. In: Proceedings of the 24th International Conference on Enterprise Information Systems (ICEIS 2022).
• Ziegler, Julian; Reimann, Peter; Schulz, Christoph; Keller, Florian; Mitschang, Bernhard: A Graph Structure to Discover Patterns in Unstructured Processes of Product Development. In: Proceedings of the 23rd International Conference on Information Reuse and Integration for Data Science (IRI 2022).

• Birk, Alexander; Wilhelm, Yannick; Dreher, Simon; Flack, Christian; Reimann, Peter; Gröger, Christoph: A Real-World Application of Process Mining for Data-Driven Analysis of Multi-Level Interlinked Manufacturing Processes. In: Procedia CIRP: Proceedings of the 54th CIRP Conference on Manufacturing Systems (CIRP CMS 2021).
• Petrik, Dimitri; Mormul, Mathias; Reimann, Peter; Gröger, Christoph: Anforderungen für Zeitreihendatenbanken im industriellen IoT. In: Meinhardt, Stefan (ed.); Wortmann, Felix (ed.): IoT – Best Practices, Springer-Verlag, 2021.
• Villanueva Zacarias, Alejandro; Weber, Christian; Reimann, Peter; Mitschang, Bernhard: AssistML: A Concept to Recommend ML Solutions for Predictive Use Cases. In: Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2021).
• Wagner, Eduard; Keller, Bernd; Reimann, Peter; Gröger, Christoph; Spath, Dieter: Advanced Analytics for Evaluating Critical Joining Technologies in Automotive Body Structures and Body Shops. In: Proceedings of the 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), 2021.
• Ziegler, Julian; Reimann, Peter; Keller, Florian; Mitschang, Bernhard: A Metadata Model to Connect Isolated Data Silos and Activities of the CAE Domain. In: Proceedings of the 33rd International Conference on Advanced Information Systems Engineering (CAiSE), 2021.

• Dreher, Simon; Reimann, Peter; Gröger, Christoph: Application Fields and Research Gaps of Process Mining in Manufacturing Companies. In: Reussner, R. H. (ed.); Koziolek, A (ed.); Heinrich, R. (ed.): Proceedings of INFORMATIK 2020.
• Hirsch, Vitali; Reimann, Peter; Mitschang, Bernhard: Incorporating Economic Aspects into Recommendation Ranking to Reduce Failure Costs. In: Procedia CIRP: Proceedings of the 53rd CIRP Conference on Manufacturing Systems (CIRP CMS 2020).
• Hirsch, Vitali; Reimann, Peter; Mitschang, Bernhard: Exploiting Domain Knowledge to Address Multi-Class Imbalance and a Heterogeneous Feature Space in Classification Tasks for Manufacturing Data. In: Balazinska, Magdalena (ed.); Zhou, Xiaofang (ed.): Proceedings of the 46th International Conference on Very Large Databases (VLDB), 2020.
• Kiefer, Cornelia; Reimann, Peter; Mitschang, Bernhard: Prevent Low-Quality Analytics by Automatic Selection of the Best-Fitting Training Data. In: Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS), 2020.
• Villanueva Zacarias, Alejandro; Ghabri, Rachaa; Reimann, Peter: AD4ML: Axiomatic Design to Specify Machine Learning Solutions for Manufacturing. In: Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020.
• Weber, Christian; Hirmer, Pascal; Reimann, Peter: A Model Management Platform for Industry 4.0 - Enabling Management of Machine Learning Models in Manufacturing Environments. In: Abramowicz, Witold (ed.); Alt, Rainer (ed.); Klein, Gary (ed.); Paschke, Adrian (ed.); Sandkuhl, Kurt (ed.): Proceedings of the 23rd International Conference on Business Information Systems (BIS), 2020.
• Weber, Christian; Reimann, Peter: MMP - A Platform to Manage Machine Learning Models in Industry 4.0 Environments. In: Proceedings of the IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW), 2020.
• Wilhelm, Yannick; Reimann, Peter; Gauchel, Wolfgang; Mitschang, Bernhard: Overview on Hybrid Approaches to Fault Detection and Diagnosis: Combining Data-driven, Physics-based and Knowledge-based Models. In: Procedia CIRP: Proceedings of the 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), 2020.
• Wilhelm, Yannick; Schreier, Ulf; Reimann, Peter; Mitschang, Bernhard; Ziekow, Holger: Data Science Approaches to Quality Control in Manufacturing: A Review of Problems, Challenges and Architecture. In: Springer Proceedings Series Communications in Computer and Information Science (CCIS), 2020.
• Ziegler, Julian; Reimann, Peter; Keller, Florian; Mitschang, Bernhard: A Graph-based Approach to Manage CAE Data in a Data Lake. In: Procedia CIRP: Proceedings of the 53rd CIRP Conference on Manufacturing Systems (CIRP CMS 2020).

• Hirsch, Vitali; Reimann, Peter; Mitschang, Bernhard: Data-Driven Fault Diagnosis in End-of-Line Testing of Complex Products. In: Proceedings of the 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2019), Washington, D.C., USA.
• Kiefer, Cornelia; Reimann, Peter; Mitschang, Bernhard: QUALM: Ganzheitliche Messung und Verbesserung der Datenqualität in der Textanalyse. In: Datenbank-Spektrum, Springer Verlag, 2019.
• Kiefer, Cornelia; Reimann, Peter; Mitschang, Bernhard: A Hybrid Information Extraction Approach Exploiting Structured Data Within a Text Mining Process. In: Grust, Torsten (ed.); Naumann, Felix (ed.); Böhm, Alexander (ed.); Lehner, Wolfgang (ed.); Härder, Theo (ed.); Rahm, Erhard et al. (ed.): 18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme (DBIS), 4.-8. März 2019, Rostock, Germany, Proceedings.
• Kiefer, Cornelia: Quality Indicators for Text Data. In: Meyer, Holger (ed.); Ritter, Norbert (ed.); Thor, Andreas (ed.); Nicklas, Daniela (ed.); Heuer, Andreas (ed.); Klettke, Meike (ed.): 18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme (DBIS), 4.-8. März 2019, Rostock, Germany, Workshopband.
• Petrik, Dimitri; Mormul, Mathias; Reimann, Peter: Anforderungen für Zeitreihendatenbanken in der industriellen Edge. In: HMD Praxis der Wirtschaftsinformatik. Bd. 56, Springer-Verlag, 2019.
• Spieß, Marco; Reimann, Peter: Angepasstes Item Set Mining zur gezielten Steuerung von Bauteilen in der Serienfertigung von Fahrzeugen. In: Tagungsband der 18. Konferenz Datenbanksysteme für Business, Technologie und Web (BTW 2019).
• Weber, Christian; Hirmer, Pascal; Reimann, Peter; Schwarz, Holger: A New Process Model for the Comprehensive Management of Machine Learning Models. In: Filipe, Joaquim (ed.); Smialek, Michal (ed.); Brodsky, Alexander (ed.); Hammoudi, Slimane (ed.): Proceedings of the 21st International Conference on Enterprise Information Systems (ICEIS); Heraklion, Crete, Greece, May 3-5, 2019.

• Hirsch, Vitali; Reimann, Peter; Kirn, Oliver; Mitschang, Bernhard: Analytical Approach to Support Fault Diagnosis and Quality Control in End-Of-Line Testing. In: Proceedings of the 51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018).
• Königsberger, Jan; Mitschang, Bernhard: R2SMA - A Middleware Architecture to Access Legacy Enterprise Web Services using Lightweight REST APIs. In: Hammoudi, Slimane (ed.); Smialek, Michal (ed.); Camp, Olivier (ed.); Filipe, Joaquim (ed.): Proceedings of the 20th International Conference on Enterprise Information Systems, 2018.
• Villanueva Zacarias, Alejandro; Reimann, Peter; Mitschang, Bernhard: A Framework to Guide the Selection and Configuration of Machine-Learning-based Data Analytics Solutions in Manufacturing. In: Proceedings of the 51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018).
• Weber, Christian; Wieland, Matthias; Reimann, Peter: Konzepte zur Datenverarbeitung in Referenzarchitekturen für Industrie 4.0: Konsequenzen bei der Umsetzung einer IT-Architektur. In: Datenbank-Spektrum. Bd. 18(1), Springer Berlin Heidelberg, 2018.

• Hoos, Eva; Hirmer, Pascal; Mitschang, Bernhard: Improving Problem Resolving on the Shop Floor by Context-Aware Decision Information Packages. In: Franch, Xavier (ed.); Ralyté, Jolita (ed.): Proceedings of the CAiSE 2017 Forum.
• Hoos, Eva; Hirmer, Pascal; Mitschang, Bernhard: Context-Aware Decision Information Packages: An Approach to Human-Centric Smart Factories. In: Proceedings of the 21st European Conference on Advances in Databases and Information Systems (ADBIS), 2017.
• Hoos, Eva; Wieland, Matthias; Mitschang, Bernhard: Analysis Method for Conceptual Context Modeling Applied in Production Environments. In: Proceedings of 20th International Conference on Business Information Systems (BIS), 2017.
• Kassner, Laura Bernadette: Product Life Cycle Analytics - Analytics auf unstrukturierten Daten für eine intelligentere Fertigung, Doctoral Thesis, 2017.
• Kassner, Laura; Gröger, Christoph; Königsberger, Jan; Hoos, Eva; Kiefer, Cornelia; Weber, Christian; Silcher, Stefan; Mitschang, Bernhard: The Stuttgart IT Architecture for Manufacturing. In: Hammoudi, Slimane (ed.); Maciaszek, Leszek A. (ed.); Missikoff, Michele M. (ed.); Camp, Olivier (ed.); Cordeiro, José (ed.): Enterprise Information Systems: 18th International Conference, ICEIS 2016, Rome, Italy, April 25--28, 2016, Revised Selected Papers, Springer International Publishing, 2017.
• Kiefer, Cornelia: Die Gratwanderung zwischen qualitativ hochwertigen und einfach zu erstellenden domänenspezifischen Textanalysen. In: B. Mitschang et al. (ed.): GI-Edition Lecture Notes in Informatics Datenbanksysteme für Business, Technologie und Web (BTW 2017) Workshopband.
• Königsberger, Jan; Mitschang, Bernhard: Business Objects plus (BO+): An Approach to Enhance Service Reuse and Integration in Cross-Domain SOA Compounds. In: Zhang, Chengcui (ed.); Palanisamy, Balaji (ed.); Khan, Latifur (ed.); Sedigh Sarvestani, Sahra (ed.): Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration.
• Weber, Christian; Königsberger, Jan; Kassner, Laura; Mitschang, Bernhard: M2DDM – A Maturity Model for Data-Driven Manufacturing. In: Tseng, Mitchell M. (ed.); Tsai, Hung-Yin (ed.); Wang, Yue (ed.): Manufacturing Systems 4.0 – Proceedings of the 50th CIRP Conference on Manufacturing Systems (CIRP CMS); Taichung, Taiwan, May 3-5, 2017.
• Weber, Christian; Königsberger, Jan: Industrie 4.0: Aktuelle Entwicklungen für Analytics - Teil 1: Analytics und Datenmanagement in Industrie 4.0-Referenzarchitekturen. In: wt Werkstattstechnik online. Bd. 107(3), Düsseldorf: Springer-VDI-Verlag, 2017.
• Weber, Christian; Königsberger, Jan: Industrie 4.0: Aktuelle Entwicklungen für Analytics - Teil 2: Vergleich und Bewertung von Industrie 4.0-Referenzarchitekturen. In: wt Werkstattstechnik online. Bd. 107(6), Springer-VDI-Verlag, 2017.

• Tokola, Henri; Gröger, Christoph; Järvenpää, Eeva; Niemi, Esko: Designing Manufacturing Dashboards on the Basis of a Key Performance Indicator Survey. In: Proceedings of the 49th CIRP Conference on Manufacturing Systems (CIRP CMS), 2016.

• Grochowski, Eva Maria; Hoos, Eva; Waitzinger, Stefan; Spath, Dieter; Mitschang, Bernhard: Web-based collaboration system for interdisciplinary and interorganizational development teams: case study. In: Proceeding of the 23rd International Conference on Production Research, 2015.