Master's Thesis: Structure-Preserving Downsampling of Machine Learning Datasets and Data Streams
Soest,
Germany
Soest,
Germany
Topic: Scientific evaluation of a novel cluster-based approach to structure-preserving downsampling of large datasets and data streams. Comparison with state-of-the-art methods in terms of resource efficiency, reduction rate, and data quality.
Target Group: Students at South Westphalia University of Applied Sciences enrolled in the Digital Technologies or Systems Engineering & Engineering Management degree programs.
Supervision:
- Prof. Dr. Andreas Wübbeke, South Westphalia University of Applied Sciences, Germany
- Dipl.-Inform. Detlef Arend, blueAIC UG (haftungsbeschränkt)