Publications

Publications AS: Year 2023

Documents of the Department

• Articles in Proceedings
• Articles in Journals
• Books
 

• Master Theses
• Bachelor Theses
• Miscellaneous Papers
 

• Bibliography 2023 BibTeX     ( Download )

• 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.
• Fieschi, Andrea; Li, Yunxuan; Hirmer, Pascal; Stach, Christoph; Mitschang, Bernhard: Privacy in Connected Vehicles: Perspectives of Drivers and Car Manufacturers. In: Aiello, Marco (ed.); Barzen, Johanna (ed.); Dustdar, Schahram (ed.); Leymann, Frank (ed.): Service-Oriented Computing: 17th Symposium and Summer School, SummerSOC 2023, Heraklion, Crete, Greece, June 25 – July 1, 2023, Revised Selected Papers.
• Li, Yunxuan; Hirmer, Pascal; Stach, Christoph: CV-Priv: Towards a Context Model for Privacy Policy Creation for Connected Vehicles. In: Proceedings of the 21st International Conference on Pervasive Computing and Communications Workshops, 2023.
• Schneider, Jan; Gröger, Christoph; Lutsch, Arnold; Schwarz, Holger; Mitschang, Bernhard: Assessing the Lakehouse: Analysis, Requirements and Definition. In: Filipe, Joaquim (ed.); Smialek, Michal (ed.); Brodsky, Alexander (ed.); Hammoudi, Slimane (ed.): Proceedings of the 25th International Conference on Enterprise Information Systems, ICEIS 2023, Volume 1, Prague, Czech Republic, April 24-26, 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.
• 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).

• Eichler, Rebecca; Gröger, Christoph; Hoos, Eva; Stach, Christoph; Schwarz, Holger; Mitschang, Bernhard: Introducing the enterprise data marketplace: a platform for democratizing company data. In: Journal of Big Data. Vol. 10, Springer Nature, 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.
• Stach, Christoph; Eichler, Rebecca; Schmidt, Simone: A Recommender Approach to Enable Effective and Efficient Self-Service Analytics in Data Lakes. In: Datenbank-Spektrum. Vol. 23(2), Springer Nature, 2023.
• Stach, Christoph; Gritti, Clémentine: Editorial to the Special Issue on Security and Privacy in Blockchains and the IoT Volume II. In: Future Internet. Vol. 15(8), Basel, Schweiz: MDPI, 2023.
• Stach, Christoph: Data Is the New Oil--Sort of: A View on Why This Comparison Is Misleading and Its Implications for Modern Data Administration. In: Future Internet. Vol. 15(2), MDPI, 2023.
• Treder-Tschechlov, Dennis; Fritz, Manuel; Schwarz, Holger; Mitschang, Bernhard: ML2DAC: Meta-Learning to Democratize AutoML for Clustering Analysis. In: Proceedings of the ACM on Management of Data (SIGMOD). Bd. 1(2), Association for Computing Machinery (ACM), 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.

• Stach, Christoph (ed); Gritti, Clémentine (ed): Security and Privacy in Blockchains and the IoT II, Basel, Beijing, Wuhan, Barcelona, Belgrade, Novi Sad, Cluj, Manchester: MDPI, 2023.
• Stach, Christoph (ed): Security and Privacy in Blockchains and the IoT, Basel, Beijing, Wuhan, Barcelona, Belgrade, Manchester, Tokyo, Cluj, Tianjin: MDPI, 2023.

• Armbruster, Benedikt: Refinement of Partitioning for Multi-class Problems with Heterogeneous Groups, Master Thesis No. 54, 2023.
• Biester, Fabian: Automatisierte Ontologie-Generierung für maschinelles Lernen zur Fehlererkennung in IoT-Daten, Master Thesis No. 98, 2023.
• Fill, Kerstin: Modellierung von Daten-Pipelines in Lakehouses, Master Thesis No. 25, 2023.
• Fuchs, Philipp: Entwurf einer Systemlandschaft für das Datenmanagement im Data-Mesh-Ansatz, Master Thesis No. 47, 2023.
• Herkommer, Jan: Anonymisierung von Daten: von der Literatur zum Automobilbereich, Master Thesis No. 29, 2023.
• Liu, Yuxin: Data Preprocessing for Application Scenarios of Digital Twins of Connected Vehicles, Master Thesis No. 80, 2023.
• Müller, Björn: Advanced Analytics for Improving the Quality of Sensors, Master Thesis No. 79, 2023.
• Müller, Christian: Automated data validation in model-driven IoT applications, Master Thesis No. 14, 2023.
• Niebling, Florian: Entwicklung einer Methode zur datengetriebenen Vorhersage der Ausgaben einer Kaltmassivumformsimulation, Master Thesis No. 93, 2023.
• Repanovici, Roland-Cristian: Concepts for Virtual Knowledge Graphs on Lakehouses, Master Thesis No. 85, 2023.
• Salaheddine, Ali: Context-aware machine-learning-based error detection, Master Thesis No. 63, 2023.
• Schuiki, Laura: Erweiterung des Data-Mesh-Konzepts um Datenschutzaspekte, Master Thesis No. 65, 2023.
• Singer, Patrick: Enhancing privacy in car data : anonymization techniques and metrics evaluation, Master Thesis No. 89, 2023.
• Weik, Fabian: Investigation of multistability-affected period-incrementing and period-adding structures in a model of a power converter with symmetry, Master Thesis No. 59, 2023.
• Zhu, Xinxin: Live adaptation of privacy-enhancing technologies in connected vehicles' data pipelines, Master Thesis No. 95, 2023.

• Aßenmacher, Alexander: Vorschlagen von Datenvalidierungsmethoden für loT-Daten mithilfe von Kontextmodellen, Bachelor Thesis No. 55, 2023.
• Egeler, Annika: Repository zur Verbesserung des Datenschutzes für vernetzte Fahrzeuge, Bachelor Thesis No. 77, 2023.
• Fischer, Linus: Aggregation von Sensordaten in modellgetriebenen IoT-Anwendungen, Bachelor Thesis No. 16, 2023.
• Joos, Pascal: Vergleich von Ansätzen zur Speicherung unstrukturierter Daten in Lakehouses, Bachelor Thesis No. 57, 2023.
• Kuksina, Olena: Differential privacy by sampling, Bachelor Thesis No. 20, 2023.
• Reed, Connor: Analysis and integration of data preprocessing steps in AutoML for clustering, Bachelor Thesis No. 13, 2023.
• Schneider, Michael: AutoML für Clustering zur Datenpartitionierung für einen Multi-Klassen-Anwendungsfall, Bachelor Thesis No. 53, 2023.
• Wallmann, Jonas: Classifying physical exercises and counting repetitions using three-dimensional pose estimation, Bachelor Thesis No. 4, 2023.
• Wanders, Marc-Luca: Evaluation von Dataframe-basierten Datenverarbeitungsbibliotheken, Bachelor Thesis No. 89, 2023.
• Wurster, Andreas: Entwicklung eines Frameworks für das Erstellen von Datenprodukten im Data Mesh, Bachelor Thesis No. 33, 2023.

• Stach, Christoph (ed); Gritti, Clémentine (ed): Special Issue "Security and Privacy in Blockchains and the IoT II", 2023.