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)
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 |
|---|---|---|---|---|
| 2,443 | 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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 149 | New Sampling-Based Summary Statistics for Improving Approximate Query Answers | 1998 | SIGMOD | 0.00029226907 |
| 173 | Simple Random Sampling from Relational Databases | 1986 | VLDB | 0.00027273858 |
| 255 | Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reports | 2001 | VLDB | 0.00023174541 |
| 2,128 | Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling | 2005 | VLDB | 9.1271562e-05 |
| 2,271 | Online Maintenance of Very Large Random Samples | 2004 | SIGMOD | 8.8254873e-05 |
| 5,733 | A Dip in the Reservoir: Maintaining Sample Synopses of Evolving Datasets | 2006 | VLDB | 6.1062071e-05 |
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