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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)

Paper ID
1397
Venue
PODS
Year
2006
Pagerank
8.2108958e-05
Overall Rank
2,716 | 81.37%
DOI
10.1145/1142351.1142389

Incoming Non-self Citations Over Time

Authors

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}
}

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