On the algebra of data sketches
Summary: Proposes a mergeable, distributed data sketch for multi-node streams that supports set-theoretic operations on summaries. Key strengths: weighted elements, simultaneous ops across many sketches, and low-overhead accuracy control without expensive numerical computations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,451 | Efficient framework for operating on data sketches | 2023 | VLDB | 4.5086031e-05 |
| 9,038 | OmniSketch: Efficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates | 2024 | VLDB | 4.4039656e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 402 | Mergeable Summaries | 2012 | PODS | 0.00024196343 |
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