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: heb36867d1c50ca24
Venue: PODS
Year: 2007
Pagerank: 5.911598e-05
Overall Rank: 6,011 | 59.60%
DOI: 10.1145/1265530.1265544

Incoming Non-self Citations Over Time

Authors

1. Rainer Gemulla (Technical University of Dresden)
2. Wolfgang Lehner (Technical University of Dresden)
3. Peter J. Haas (IBM)

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
2,495	Independent Range Sampling	2014	PODS	8.3834888e-05
5,780	Data Streams with Bounded Deletions	2018	PODS	5.9949139e-05
7,515	Efficient and Scalable Statistics Gathering for Large Databases in Oracle 11g	2008	SIGMOD	5.5029699e-05

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.

Rank	Cited Paper	Year	Venue	Pagerank
153	New Sampling-Based Summary Statistics for Improving Approximate Query Answers	1998	SIGMOD	0.00028621958
175	Simple Random Sampling from Relational Databases	1986	VLDB	0.00026776696
267	Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reports	2001	VLDB	0.00022713652
2,173	Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling	2005	VLDB	8.9197633e-05
2,324	Online Maintenance of Very Large Random Samples	2004	SIGMOD	8.6332031e-05
5,854	A Dip in the Reservoir: Maintaining Sample Synopses of Evolving Datasets	2006	VLDB	5.9689965e-05

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