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Maintaining Bernoulli Samples over Evolving Multisets

Summary: Maintains Bernoulli samples over arbitrary insertion/deletion streams on multisets (duplicates allowed) without accessing the base multiset, extending Gibbons–Matias counting-sample technique. Tracking counters yield unbiased, lower-variance estimators for frequencies, sums, averages and distinct counts, and enable practical subsampling/merging for memory-limited or distributed settings. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1418
Venue
PODS
Year
2007
Pagerank
6.0495154e-05
Overall Rank
5,891 | 59.59%
DOI
10.1145/1265530.1265544

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{gemulla_pods07,
        address = {New York, NY, USA},
        series = {{PODS} '07},
        title = {{Maintaining Bernoulli Samples over Evolving Multisets}},
        url = {https://dl.acm.org/doi/10.1145/1265530.1265544},
        doi = {10.1145/1265530.1265544},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Gemulla, Rainer and Lehner, Wolfgang and Haas, Peter J.},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
2,443 Independent Range Sampling 2014 PODS 8.5754434e-05
5,669 Data Streams with Bounded Deletions 2018 PODS 6.1278944e-05
7,377 Efficient and Scalable Statistics Gathering for Large Databases in Oracle 11g 2008 SIGMOD 5.6297042e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

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