Publications

Publications AS: Year 2020

Documents of the Department

• Articles in Proceedings
• Articles in Journals
 

• Master Theses
• Bachelor Theses
 

• Bibliography 2020 BibTeX     ( Download )

• Del Gaudio, Daniel; Hirmer, Pascal: Fulfilling the IoT Vision: Are We There Yet?. In: In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, 2020.
• Del Gaudio, Daniel; Reichel, Maximilian; Hirmer, Pascal: A Life Cycle Method for Device Management in Dynamic IoT Environments. In: Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, 2020.
• 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.
• Eichler, Rebecca; Giebler, Corinna; Gröger, Christoph; Schwarz, Holger; Mitschang, Bernhard: HANDLE - A Generic Metadata Model for Data Lakes. In: Song, Min (ed.); Song, Il-Yeol (ed.); Kotsis, Gabriele (ed.); Tjoa, A Min (ed.); Khalil, Ismail (ed.): Big Data Analytics and Knowledge Discovery, 2020.
• Eichler, Rebecca; Giebler, Corinna; Gröger, Christoph; Schwarz, Holger; Mitschang, Bernhard: HANDLE - A Generic Metadata Model for Data Lakes. In: Big Data Analytics and Knowledge Discovery: 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings.
• Franco da Silva, Ana Cristina; Hirmer, Pascal; Schneider, Jan; Ulusal, Seda; Tavares Frigo, Matheus: MBP: Not just an IoT Platform. In: 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).
• Fritz, Manuel; Behringer, Michael; Schwarz, Holger: LOG-Means: Efficiently Estimating the Number of Clusters in Large Datasets. In: Balazinska, Magdalena (ed.); Zhou, Xiaofang (ed.): Proceedings of the 46th International Conference on Very Large Databases (VLDB), 2020.
• Fritz, Manuel; Tschechlov, Dennis; Schwarz, Holger: Learning from Past Observations: Meta-Learning for Efficient Clustering Analyses. In: Song, Min (ed.); Song, Il-Yeol (ed.); Kotsis, Gabriele (ed.); Tjoa, A Min (ed.); Khalil, Ismail (ed.): Proceedings of 22nd Big Data Analytics and Knowledge Discovery (DaWaK), 2020.
• Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: A Zone Reference Model for Enterprise-Grade Data Lake Management. In: Proceedings of the 24th IEEE Enterprise Computing Conference, 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.
• Mormul, Mathias; Hirmer, Pascal; Stach, Christoph; Mitschang, Bernhard: Avoiding Vendor-Lockin in Cloud Monitoring using Generic Agent Templates. In: Proceedings of the 23rd International Conference on Business Information Systems (BIS), 2020.
• Mormul, Mathias; Hirmer, Pascal; Stach, Christoph; Mitschang, Bernhard: DEAR: Distributed Evaluation of Alerting Rules. In: IEEE 13th International Conference on Cloud Computing (CLOUD), 2020.
• Mormul, Mathias; Stach, Christoph: A Context Model for Holistic Monitoring and Management of Complex IT Environments. In: Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (CoMoRea).
• Przytarski, Dennis; Stach, Christoph; Gritti, Clémentine; Mitschang, Bernhard: A Blueprint for a Trustworthy Health Data Platform Encompassing IoT and Blockchain Technologies. In: Proceedings of the ISCA 29th International Conference on Software Engineering and Data Engineering (Las Vegas, October 2020).
• Stach, Christoph; Giebler, Corinna; Wagner, Manuela; Weber, Christian; Mitschang, Bernhard: AMNESIA: A Technical Solution towards GDPR-compliant Machine Learning. In: Furnell, Steven (ed.); Mori, Paolo (ed.); Weippl, Edgar (ed.); Camp, Olivier (ed.): Proceedings of the 6th International Conference on Information Systems Security and Privacy (ICISSP 2020).
• Stach, Christoph; Gritti, Clémentine; Mitschang, Bernhard: Bringing Privacy Control back to Citizens: DISPEL - A Distributed Privacy Management Platform for the Internet of Things. In: Proceedings of the 35th ACM/SIGAPP Symposium On Applied Computing (PDP)., 2020.
• Stach, Christoph; Gritti, Clémentine; Przytarski, Dennis; Mitschang, Bernhard: Trustworthy, Secure, and Privacy-aware Food Monitoring Enabled by Blockchains and the IoT. In: Proceedings of the 18th Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 23-27 March, 2020, Austin, Texas, USA.
• 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).

• Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Eichler, Rebecca; Schwarz, Holger; Mitschang, Bernhard: Data Lakes auf den Grund gegangen: Herausforderungen und Forschungslücken in der Industriepraxis. In: Datenbank-Spektrum. Bd. 20(1), Springer, 2020.
• Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Eichler, Rebecca; Schwarz, Holger; Mitschang, Bernhard: Data Lakes auf den Grund gegangen - Herausforderungen und Forschungslücken in der Industriepraxis. In: Datenbank Spektrum. Bd. 20, Springer-Verlag, 2020.
• Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Eichler, Rebecca; Schwarz, Holger; Mitschang, Bernhard: Data Lakes auf den Grund gegangen - Herausforderungen und Forschungslücken in der Industriepraxis. In: Datenbank Spektrum. Bd. 20, Springer-Verlag, 2020.
• Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Eichler, Rebecca; Schwarz, Holger; Mitschang, Bernhard: Data Lakes auf den Grund gegangen - Herausforderungen und Forschungslücken in der Industriepraxis. In: Datenbank Spektrum. Bd. 20, Springer, 2020.
• Stach, Christoph; Bräcker, Julia; Eichler, Rebecca; Giebler, Corinna; Gritti, Clémentine: How to Provide High-Utility Time Series Data in a Privacy-Aware Manner: A VAULT to Manage Time Series Data. In: Hof, Hans-Joachim Hof (ed.); Gersbeck-Schierholz, Birgit (ed.): International Journal On Advances in Security. Vol. 13(3&4), IARIA, 2020.

• Benz, Jakob: Privacy for the MBP IoT platform, Master Thesis No. 63, 2020.
• Boceck, Tobias: A software architecture for graph-based metadata management for CAE data, Master Thesis No. 80, 2020.
• Frank, Alex: Nutzung von Provenance-Daten zur Analyse personenbezogener Daten gemäß DSGVO-Richtlinien, Master Thesis No. 37, 2020.
• Ismaiel, Muhammad: Enabling multi-tenant scalable IoT platforms, Master Thesis No. 27, 2020.
• Koleci, Anisa: Privacy-aware Machine Learning, Master Thesis No. 19, 2020.
• Kumar, Abhishek: An Analytics Framework for the IoT Platform MBP, Master Thesis No. 8, 2020.
• Malya, Prasad P: Economic Feasibility Analysis of Vehicle-to-Grid Service from an EV Owner's Perspective in the German Electricity Market, Master Thesis No. 9, 2020.
• Pauly, Vincenz: Situationserkennung mithilfe von Smart Contracts, Master Thesis No. 71, 2020.
• Sadhasivan, Hema: Knowledge Representation and Automated Reasoning for Decision Support on Fault Correction in Manufacturing, Master Thesis No. 36, 2020.
• Shao, Gang: About the design changes required for enabling ECM systems to exploit cloud technology, Master Thesis No. 44, 2020.

• Düsseldorf, Heike: Entwicklung einer Datenbereitstellungsplattform für datenintensive IoT-Anwendungen, Bachelor Thesis No. 69, 2020.
• Geiger, Fabian: Realisierung des Zonenreferenzmodells auf Datenströmen, Bachelor Thesis No. 94, 2020.
• Niebling, Florian: Approximation aufwendiger Simulationen durch datengetriebene Surrogatmodelle, Bachelor Thesis No. 14, 2020.
• Rapp, Jannis: Datenqualitätsmetriken zur Unterstützung von Domänenexperten bei interaktiven Analysen, Bachelor Thesis No. 44, 2020.
• Schubert, Tim: Verbesserung von Robustheit und Ausfallsicherheit bei der Datenverarbeitung in IoT-Umgebungen, Bachelor Thesis No. 43, 2020.
• Schuiki, Laura: Bedarfsgerechte Datenbereitstellung in einer vertrauenswürdigen Data-Science-Plattform, Bachelor Thesis No. 117, 2020.
• Seber, Katja: Adaptives Testwerkzeug für IoT Applikationen, Bachelor Thesis No. 22, 2020.
• Weber, Pascal: Situationserkennung mithilfe eines In-Memory Data Grids, Bachelor Thesis No. 93, 2020.
• Winckler, Magdalena: Umsetzung anwendungsspezifischer ETL-Prozesse im Data Lake, Bachelor Thesis No. 7, 2020.