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Coordinated Weighted Sampling for Estimating Aggregates Over Multiple Weight Assignments

Summary: Coordinated weighted sampling for vector-weighted keys enables accurate aggregates across multiple weight assignments (time snapshots, multi-location requests). A unified framework with estimators orders of magnitude tighter than single-weight designs; empirically validated on IP networks and stock quotes data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9961
Venue
VLDB
Year
2009
Pagerank
5.5196338e-05
Overall Rank
5,415 | 62.33%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
3,708 Is Min-Wise Hashing Optimal for Summarizing Set Intersection? 2014 PODS 6.8247903e-05
8,470 Sampling Big Ideas in Query Optimization 2023 PODS 4.5038423e-05
11,025 Sampling Methods for Inner Product Sketching 2024 VLDB 4.1945683e-05
12,166 Get the Most out of Your Sample: Optimal Unbiased Estimators using Partial Information 2011 PODS 4.1945683e-05
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Showing 8 of 8 cited papers.

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

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