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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
1419
Venue
PODS
Year
2007
Pagerank
5.1645517e-05
Overall Rank
6,190 | 56.94%
DOI
-

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Rank Citing Paper Year Venue Pagerank
2,203 Independent Range Sampling 2014 PODS 9.2981095e-05
7,415 Efficient and Scalable Statistics Gathering for Large Databases in Oracle 11g 2008 SIGMOD 4.7355557e-05
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