Spectral Bloom Filters
Summary: Spectral Bloom Filters extend Bloom Filters to multisets, enabling multiplicity estimation with small error and spectrum filtering. With modest memory, they support insertions/deletions and incremental maintenance, acting as a granular histogram for queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Saar Cohen (Tel Aviv University)
- 2. Yossi Matias (Tel Aviv University)
BibTeX Citation
@inproceedings{cohen_sigmod03,
title = {{Spectral Bloom Filters}},
author = {Cohen, Saar and Matias, Yossi},
series = {{SIGMOD} '03},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/872757.872787},
url = {https://dl.acm.org/doi/10.1145/872757.872787},
year = {2003}
}
Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 26 | Models and Issues in Data Stream Systems | 2002 | PODS | 0.00052982574 |
| 122 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.00031260115 |
| 149 | New Sampling-Based Summary Statistics for Improving Approximate Query Answers | 1998 | SIGMOD | 0.00029226907 |
| 342 | R* Optimizer Validation and Performance Evaluation for Distributed Queries | 1986 | VLDB | 0.00020673706 |
| 577 | Computing Iceberg Queries Efficiently | 1998 | VLDB | 0.00016235949 |
| 730 | Bifocal Sampling for Skew-Resistant Join Size Estimation | 1996 | SIGMOD | 0.00014539362 |
| 1,186 | Fixed-Precision Estimation of Join Selectivity | 1993 | PODS | 0.00011764128 |
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