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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
3589
Venue
SIGMOD
Year
2004
Pagerank
8.8254873e-05
Overall Rank
2,271 | 84.43%
DOI
10.1145/1007568.1007603

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{jermaine_sigmod04,
        title = {{Online Maintenance of Very Large Random Samples}},
        author = {Jermaine, Christopher and Pol, Abhijit and Arumugam, Subramanian},
        series = {{SIGMOD} '04},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1007568.1007603},
        url = {https://dl.acm.org/doi/10.1145/1007568.1007603},
        year = {2004}
}

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