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Logging Every Footstep: Quantile Summaries for the Entire History

Summary: Historical quantile search: epsilon-approximate quantiles for any snapshot, enabling history-aware distribution analysis. A space lower bound separates past from present quantiles; a structure within a square-log factor of bound, with experiments showing practical accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hce05bcc4cd2be4da
Venue
SIGMOD
Year
2010
Pagerank
5.3942942e-05
Overall Rank
8,104 | 45.52%
DOI
10.1145/1807167.1807237

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{tao_sigmod10,
        title = {{Logging Every Footstep: Quantile Summaries for the Entire History}},
        author = {Tao, Yufei and Yi, Ke and Sheng, Cheng and Pei, Jian and Li, Feifei},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807237},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807237},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

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3,080 Persistent Data Sketching 2015 SIGMOD 7.6662346e-05
5,093 Persistent Bloom Filter: Membership Testing for the Entire History 2018 SIGMOD 6.277732e-05
5,373 At-the-time and Back-in-time Persistent Sketches 2021 SIGMOD 6.1569337e-05
12,321 Variability in Data Streams 2016 PODS 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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