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.
DataGossip (PyTorch extension for asynchronous distributed data parallel machine learning)
Sebastian Schmidl, Phillip Wenig, Thorsten Papenbrock: Anomaly Detection in Time Series: A Comprehensive Evaluation. Proceedings of the VLDB Endowment (PVLDB), 2022 (to appear) [Project Page]
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]
Johannes Schneider, Phillip Wenig, Thorsten Papenbrock: Distributed detection of sequential anomalies in univariate time series. The VLDB Journal (2021) [Paper][Poster][Project Page]