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Simple Random Sampling from Relational Databases
Summary: Proposes simple random sampling directly from relational query results without materializing the full result. For selections, projections, joins, unions, and intersections, it shows data structures and algorithms that run in time proportional to the sample size, enabling efficient auditing.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h0547ac8e7ec4217a
Venue
VLDB
Year
1986
Pagerank
0.00026776696
Overall Rank
175 | 98.83%
DOI
-
Incoming Non-self Citations Over Time
Authors
1.
Frank Olken
(Lawrence Berkeley National Laboratory)
2.
Doron Rotem
(Lawrence Berkeley National Laboratory; University of Waterloo)
BibTeX Citation
Copy BibTeX
@article{olken_vldb86,
title = {{Simple Random Sampling from Relational Databases}},
author = {Olken, Frank and Rotem, Doron},
journal = {PVLDB},
series = {{VLDB} '86},
pages = {160--166},
year = {1986}
}
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1988
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VLDB
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SIGMOD
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8,876
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views
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FastPDB: Towards Bag-Probabilistic Queries at Interactive Speeds
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Towards Output-Optimal Uniform Sampling and Approximate Counting for Join-Project Queries
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Rank
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Year
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Pagerank
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