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| Funder | Engineering and Physical Sciences Research Council |
|---|---|
| Recipient Organization | University of Bristol |
| Country | United Kingdom |
| Start Date | Sep 30, 2024 |
| End Date | Mar 30, 2028 |
| Duration | 1,277 days |
| Number of Grantees | 2 |
| Roles | Student; Supervisor |
| Data Source | UKRI Gateway to Research |
| Grant ID | 2926282 |
The objective of this PhD research proposal is to determine the power and limitations of sliding window algorithms for processing massive data sets.
While the research literature on the 1related data streaming model is heavily developed and streaming algorithms for most fundamental problems are well-understood, the sliding window model has received significantly less attention.
From the perspective of applications, this is particularly unsatisfactory since, as discussed above, the sliding window model is often the more suitable model when considering continuously growing massive data sets.
University of Bristol
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