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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
7934
Venue
VLDB
Year
1986
Pagerank
0.00027273858
Overall Rank
173 | 98.82%
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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Outgoing Citations (Sorted by Pagerank)
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