Publications

Publications AS: Year 2022

Documents of the Department

• Articles in Proceedings
• Articles in Journals
 

• Master Theses
• Bachelor Theses
• Miscellaneous Papers
 

• Bibliography 2022 BibTeX     ( Download )

• Eichler, Rebecca; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: Data Shopping — How an Enterprise Data Marketplace Supports Data Democratization in Companies. In: De Weerdt, Jochen (ed.); Polyvyanyy, Artem (ed.): Proceedings of the 34th International Conference on Intelligent Information Systems, 2022.
• Eichler, Rebecca; Gröger, Christoph; Hoos, Eva; Stach, Christoph; Schwarz, Holger; Mitschang, Bernhard: Establishing the Enterprise Data Marketplace: Characteristics, Architecture, and Challenges. In: Yu, Xiaohui (ed.); Pei, Jian (ed.): Proceedings of the Workshop on Data Science for Data Marketplaces in Conjunction with the 48th International Conference on Very Large Data Bases, 2022.
• 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).
• Li, Yunxuan; Hirmer, Pascal; Stach, Christoph; Mitschang, Bernhard: Ensuring Situation-Aware Privacy for Connected Vehicles. In: Niforatos, Evangelos (ed.); Kortuem, Gerd (ed.); Meratnia, Nirvana (ed.); Siegel, Josh (ed.); Michahelles, Florian (ed.): Proceedings of the 12th International Conference on the Internet of Things (IoT); Delft, Netherlands, November 7 - 10, 2022.
• Schneider, Jan; Hirmer, Pascal: Enhancing IoT Platforms for Autonomous Device Discovery and Selection. In: Barzen, Johanna (ed.); Leymann, Frank (ed.); Dustdar, Schahram (ed.): Service-Oriented Computing, 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).
• Stach, Christoph; Gritti, Clémentine; Przytarski, Dennis; Mitschang, Bernhard: Can Blockchains and Data Privacy Laws be Reconciled? A Fundamental Study of How Privacy-Aware Blockchains are Feasible. In: Hong, Jiman (ed.); Bures, Miroslav (ed.); Petrlic, Ronald (ed.); Sorge, Christoph (ed.): Proceedings of the 37th ACM/SIGAPP Symposium On Applied Computing, 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).

• Stach, Christoph; Behringer, Michael; Bräcker, Julia; Gritti, Clémentine; Mitschang, Bernhard: SMARTEN — A Sample-Based Approach towards Privacy-Friendly Data Refinement. In: Journal of Cybersecurity and Privacy. Vol. 2(3), MDPI, 2022.
• Stach, Christoph; Bräcker, Julia; Eichler, Rebecca; Giebler, Corinna; Mitschang, Bernhard: Simplified Specification of Data Requirements for Demand-Actuated Big Data Refinement. In: Journal of Data Intelligence. Vol. 3(3), Rinton Press, 2022.
• Stach, Christoph; Gritti, Clémentine; Bräcker, Julia; Behringer, Michael; Mitschang, Bernhard: Protecting Sensitive Data in the Information Age: State of the Art and Future Prospects. In: Future Internet. Vol. 14(11), MDPI, 2022.
• Stach, Christoph; Gritti, Clémentine; Przytarski, Dennis; Mitschang, Bernhard: Assessment and Treatment of Privacy Issues in Blockchain Systems. In: ACM SIGAPP Applied Computing Review. Vol. 22(3), ACM, 2022.
• Stach, Christoph: Editorial to the Special Issue on Security and Privacy in Blockchains and the IoT. In: Future Internet. Vol. 14(11), MDPI, 2022.

• Balihalli, Tushar Rajendra: Data-driven partitioning of training data for complex multiclass problems, Master Thesis No. 37, 2022.
• Keskin, Bedirhan: A simulator for connected car scenarios, Master Thesis No. 38, 2022.
• Koole, Niels Floyd: Efficient validation of time series data using reasoning, Master Thesis No. 83, 2022.
• Kovacic, Marko: Deployment und Ausführung verteilter Datenpipelines in Software-Defined-Car-Anwendungen, Master Thesis No. 81, 2022.
• Künzel, Sebastian: Design and implementation of a GPU-based simulation- and analysis-environment for dynamical systems, Master Thesis No. 35, 2022.
• Kunze, Ulf: Partitioning training data for complex multi-class problems using constraint-based clustering, Master Thesis No. 4, 2022.
• Li, Yunxuan: Preserving privacy in software defined car environments, Master Thesis No. 10, 2022.
• Rapp, Jannis: Einbindung von Domänenexperten in die interaktive Verfeinerung von Clustering-Resultaten, Master Thesis No. 87, 2022.
• Schubert, Tim: Context-aware data validation for machine learning pipelines, Master Thesis No. 98, 2022.
• Voggesberger, Julius: AutoML für Ensembles: Erhöhung der Klassifikationsperformanz durch Optimierung der Modelldiversität und der Entscheidungsfusion, Master Thesis No. 33, 2022.
• Wang, Xiaomin: Orchestrating data governance workloads as stateful services in cloud environments using Kubernetes Operator Framework, Master Thesis No. 99, 2022.
• Zeller, Sascha: Extraktion von hierarchischem Domänenwissen für komplexe Mehrklassenprobleme, Master Thesis No. 104, 2022.

• Bartenbach, Arne: Monitoringsystem für modellgetriebene IoT-Anwendungen, Bachelor Thesis No. 59, 2022.
• Berezhna, Ganna: Entwicklung von Metadatentemplates für unternehmensinterne Datenmarktplätze, Bachelor Thesis No. 58, 2022.

• Stach, Christoph (ed): Special Issue "Security and Privacy in Blockchains and the IoT", 2022.