Our group includes PostDocs, PhD students, and student assistants, and is headed by Prof. Felix Naumann. If you are interested in joining our team, please contact Felix Naumann.
For bachelor students we offer German lectures on database systems in addition to paper- or project-oriented seminars. Within a one-year bachelor project, students finalize their studies in cooperation with external partners. For master students we offer courses on information integration, data profiling, and information retrieval enhanced by specialized seminars, master projects and we advise master theses.
Most of our research is conducted in the context of larger research projects, in collaboration across students, across groups, and across universities. We strive to make available most of our datasets and source code.
Actix Telepathy (Rust extension for Actix to allow remote actors)
DataGossip (PyTorch extension for asynchronous distributed data parallel machine learning)
Publications
Sebastian Schmidl, Phillip Wenig, Thorsten Papenbrock: HYPEX: Hyperparameter Optimization in Time Series Anomaly Detection. Proceedings of the conference on Database Systems for Business, Technology, and Web (BTW), 2023 [Paper][Project Page][DOI:10.18420/BTW2023-22]
Phillip Wenig, Sebastian Schmidl, Thorsten Papenbrock: TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms. PVLDB 12:(15), 2022 [Paper][Project Page][DOI:10.14778/3554821.3554873]
Phillip Wenig, Thorsten Papenbrock: DataGossip: A Data Exchange Extension for Distributed Machine Learning Algorithms. Proceedings of the International Conference on Extending Database Technology (EDBT), 2022 [Paper][GitHub][DOI:10.48786/edbt.2022.24]
