SieveSketch: A Fine-grained and Adaptive Sketch Framework for Accurate Frequency Estimation
Summary: SieveSketch: adaptive sketch for accurate frequency estimation in data streams; scalable, few-bit counters capture massive cold items. Frequency-based counting with an error bound yields up to 222× lower error than prior methods, verified on real data. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Shishi Zhang (Xiamen University)
- 2. Yaping Xu (Xiamen University)
- 3. Lu Tang (Xiamen University)
BibTeX Citation
@inproceedings{zhang_sigmod26,
title = {{SieveSketch: A Fine-grained and Adaptive Sketch Framework for Accurate Frequency Estimation}},
author = {Zhang, Shishi and Xu, Yaping and Tang, Lu},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3749182},
url = {https://dl.acm.org/doi/10.1145/3749182},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 18 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00059284255 |
| 1,294 | Augmented Sketch: Faster and More Accurate Stream Processing | 2016 | SIGMOD | 0.00011291308 |
| 1,905 | Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing | 2018 | SIGMOD | 9.5034849e-05 |
| 4,863 | Pyramid Sketch: a Sketch Framework for Frequency Estimation of Data Streams | 2017 | VLDB | 6.4740702e-05 |
| 7,716 | Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items | 2023 | SIGMOD | 5.5605526e-05 |
| 7,860 | LadderFilter: Filtering Infrequent Items with Small Memory and Time Overhead | 2023 | SIGMOD | 5.5302333e-05 |
| 8,414 | Single Update Sketch with Variable Counter Structure | 2023 | VLDB | 5.4304732e-05 |
| 8,918 | Pontus: Finding Waves in Data Streams | 2023 | SIGMOD | 5.3483178e-05 |
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