Space-Efficient Estimation of Statistics over Sub-Sampled Streams
Summary: Characterizes space-efficient estimation of original-stream statistics (frequency moments, support size, entropy, heavy hitters) when only sub-sampled stream observations are available. Presents algorithms with matching upper and lower bounds that tightly characterize space complexity. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Andrew McGregor (University of Massachusetts Amherst)
- 2. A. Pavan (Iowa State University)
- 3. Srikanta Tirthapura (Iowa State University)
- 4. David P. Woodruff (IBM)
BibTeX Citation
@inproceedings{mcgregor_pods12,
address = {New York, NY, USA},
series = {{PODS} '12},
title = {{Space-Efficient Estimation of Statistics over Sub-Sampled Streams}},
url = {https://dl.acm.org/doi/10.1145/2213556.2213594},
doi = {10.1145/2213556.2213594},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {McGregor, Andrew and Pavan, A. and Tirthapura, Srikanta and Woodruff, David P.},
year = {2012}
}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 288 | Towards Estimation Error Guarantees for Distinct Values | 2000 | PODS | 0.00022296371 |
| 2,697 | Sketching Probabilistic Data Streams | 2007 | SIGMOD | 8.2451054e-05 |
| 2,988 | Estimating Statistical Aggregates on Probabilistic Data Streams | 2007 | PODS | 7.8907087e-05 |
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