Together is Better: Heavy Hitters Quantile Estimation
Summary: Per-ID quantile estimation in data streams, focusing on heavy hitters to avoid per-ID sketches. SQUAD—a hybrid sampling-sketching algorithm—bootstraps quantile sketches with background sampling to lower space, with theoretical guarantees and real-trace validation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rana Shahout (Technion)
- 2. Roy Friedman (Technion)
- 3. Ran Ben Basat (University College London)
BibTeX Citation
@inproceedings{shahout_sigmod23,
title = {{Together is Better: Heavy Hitters Quantile Estimation}},
author = {Shahout, Rana and Friedman, Roy and Basat, Ran Ben},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588937},
url = {https://dl.acm.org/doi/10.1145/3588937},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,618 | SplineSketch: Even More Accurate Quantiles with Error Guarantees | 2026 | SIGMOD | 5.2434488e-05 |
| 10,487 | Quantile Estimation with Duplicates | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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