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Quantiles over Data Streams: An Experimental Study

Summary: Taxonomy and efficient online implementations of streaming quantile algorithms for describing data distributions via quantiles. Introduces novel, previously unstudied variations that improve space–time–accuracy tradeoffs and provides thorough experimental comparisons of methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4781
Venue
SIGMOD
Year
2013
Pagerank
7.1442477e-05
Overall Rank
3,765 | 74.17%
DOI
10.1145/2463676.2465312

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_sigmod13,
        title = {{Quantiles over Data Streams: An Experimental Study}},
        author = {Wang, Lu and Luo, Ge and Yi, Ke and Cormode, Graham},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465312},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465312},
        year = {2013}
}

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