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Estimating Quantiles from the Union of Historical and Streaming Data

Summary: Quantile estimation over the union of historical and streaming data via a hybrid approach: a historical index plus a memory-efficient streaming sketch. Improves accuracy–resource tradeoffs relative to disk-only or streaming-only solutions for real-time analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11728
Venue
VLDB
Year
2017
Pagerank
5.289545e-05
Overall Rank
9,318 | 36.08%
DOI
10.14778/3025111.3025120

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{singh_vldb17,
        title = {{Estimating Quantiles from the Union of Historical and Streaming Data}},
        author = {Singh, Sneha Aman and Srivastava, Divesh and Tirthapura, Srikanta},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {4},
        pages = {433--444},
        doi = {10.14778/3025111.3025120},
        url = {https://doi.org/10.14778/3025111.3025120},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,675 Randomized Sketches for Quantile in LSM-tree based Store 2025 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

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

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