Space- and Time-Efficient Deterministic Algorithms for Biased Quantiles over Data Streams
Summary: First deterministic one-pass algorithms for biased quantiles on data streams, providing skew-aware accuracy (more precise at extremes) with near-optimal sublinear space. Amortized updates are near-constant, practical and empirically use less space and are fast to maintain. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Graham Cormode (AT&T)
- 2. Flip Korn (AT&T)
- 3. S. Muthukrishnan (Rutgers University)
- 4. Divesh Srivastava (AT&T)
BibTeX Citation
@inproceedings{cormode_pods06,
address = {New York, NY, USA},
series = {{PODS} '06},
title = {{Space- and Time-Efficient Deterministic Algorithms for Biased Quantiles over Data Streams}},
url = {https://dl.acm.org/doi/10.1145/1142351.1142389},
doi = {10.1145/1142351.1142389},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Cormode, Graham and Korn, Flip and Muthukrishnan, S. and Srivastava, Divesh},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 26 | Models and Issues in Data Stream Systems | 2002 | PODS | 0.00052982574 |
| 82 | Space-Efficient Online Computation of Quantile Summaries | 2001 | SIGMOD | 0.00036378991 |
| 443 | Random Sampling Techniques for Space Efficient Online Computation of Order Statistics of Large Datasets | 1999 | SIGMOD | 0.00018373044 |
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