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)
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Authors
- 1. Tianrui Xia (Tsinghua University)
- 2. Ziling Chen (Tsinghua University)
- 3. Shaoxu Song (Tsinghua University)
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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