2 papers
cs.LG2025
Generative Correlation Manifolds: Generating Synthetic Data with Preserved Higher-Order Correlations
Jens E. d'Hondt, Wieger R. Punter, Odysseas Papapetrou
The increasing need for data privacy and the demand for robust machine learning models have fueled the development of synthetic data generation techniques. However, current methods…
cs.DB2023
OmniSketch: Efficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates
Wieger R. Punter, Odysseas Papapetrou, Minos Garofalakis
A key need in different disciplines is to perform analytics over fast-paced data streams, similar in nature to the traditional OLAP analytics in relational databases i.e., with fil…