Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject data reduction
Showing results 1 to 6 of 6
| Issue Date | Title | Author(s) |
|---|---|---|
| 8-Feb-2022 | Class Density and Dataset Quality in High-Dimensional, Unstructured Data | Byerly, A; Kalganova, T |
| 15-Dec-2022 | Data-Efficient Estimation of Remaining Useful Life for Machinery with a Limited Number of Run-to-Failure Training Sequences | Kalganova, T; Sternharz, G; Elhalwagy, A |
| 23-Oct-2023 | A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets | Elhalwagy, A; Kalganova, T |
| 25-Oct-2022 | Dimensionality Reduction to Dynamically Reduce Data | Sanderson, D; Malin, B; Kalganova, T; Ott, R |
| 8-May-2025 | Identifying Suitability for Data Reduction in Imbalanced Time-Series Datasets | Sanderson, D; Kalganova, T |
| 7-Jan-2023 | Towards an Analytical Definition of Sufficient Data | Byerly, A; Kalganova, T |