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Online Maintenance of Very Large Random Samples

Summary: Online maintenance of very large on-disk samples from streaming data. Presents online, single-pass algorithms that maintain true random samples (without replacement) of all data seen so far at gigabyte–terabyte scales, suitable for biased or unequal probability sampling. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3527
Venue
SIGMOD
Year
2004
Pagerank
8.9501526e-05
Overall Rank
2,368 | 83.53%
DOI
-

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