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)
Incoming Non-self Citations Over Time
Authors
- 1. Sneha Aman Singh (Iowa State University)
- 2. Divesh Srivastava (AT&T)
- 3. Srikanta Tirthapura (Iowa State University)
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)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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