Collaborative Research: AF: Small: Resilient Data Stream Algorithms — NSF Award to University of Massachusetts Amherst (MA, $298,6
Massive amounts of data are collected or generated in industries such as finance and healthcare; in scientific fields such as genomics and high-energy physics; and in technological applications such as cloud computing and training machine learning models. This has motivated the design and analysis of data stream algori
| Award title | Collaborative Research: AF: Small: Resilient Data Stream Algorithms |
|---|---|
| Award ID | 2521579 |
| Awardee | University of Massachusetts Amherst |
| City | AMHERST |
| State | MA |
| Amount obligated | $298,660 |
| Principal investigator | Andrew McGregor |
| Program | Algorithmic Foundations |
| Start date | 07/15/2025 |
| Abstract | Massive amounts of data are collected or generated in industries such as finance and healthcare; in scientific fields such as genomics and high-energy physics; and in technological applications such as cloud computing and training machine learning models. This has motivated the design and analysis of data stream algorithms, a highly productive research area within computer science. The focus is typically on algorithms with provable guarantees regarding their running time, memory usage, and accur |
| Source | NSF Awards |
$799/mo
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