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Quantile Estimation with Duplicates

Summary: DupliSketch: a quantile sketch explicitly optimized for duplicate-heavy streams, compressing arrival duplicates and using randomized compaction plus separate tracking of frequent values. Provides rank-error/space/time guarantees under duplicates and beats KLL-style baselines (avg. 44% lower error), with an IoTDB UDF deployment. (summarized by gpt-5-mini on Apr 11 2026)

Paper ID
7700
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,487 | 28.05%
DOI
10.1145/3786683

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BibTeX Citation

@inproceedings{xia_sigmod26,
        title = {{Quantile Estimation with Duplicates}},
        author = {Xia, Tianrui and Chen, Ziling and Song, Shaoxu},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3786683},
        url = {https://dl.acm.org/doi/10.1145/3786683},
        year = {2026}
}

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