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Approximate Quantiles and the Order of the Stream

Summary: Analyzes i.i.d. samples from an unknown distribution arriving in partially non‑adversarial order and shows that exploiting order yields provably stronger streaming quantile algorithms. Constructs sublinear‑space, consistent quantile estimators that improve accuracy as sample size grows, resolving open questions on order's impact. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1399
Venue
PODS
Year
2006
Pagerank
6.5121141e-05
Overall Rank
4,031 | 71.96%
DOI
-

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Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
595 Estimating PageRank on Graph Streams 2008 PODS 0.00019507721
4,080 Sliding-Window Top-k Queries on Uncertain Streams 2008 VLDB 6.4652983e-05
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