DBScholar

Back to papers

Adaptive Quotient Filters

Summary: AdaptiveQF: practical adaptive quotient filter with minimal overhead and strong guarantees. Auxiliary structure preserves quotient-filter traits; on-disk B-trees show no penalty, adversaries no slowdown, and skewed workloads reach 100× fewer false positives with ~0.001 bit/item. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7020
Venue
SIGMOD
Year
2024
Pagerank
5.3505412e-05
Overall Rank
8,892 | 39.00%
DOI
10.1145/3677128

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wen_sigmod24,
        title = {{Adaptive Quotient Filters}},
        author = {Wen, Richard and McCoy, Hunter and Tench, David and Tagliavini, Guido and Bender, Michael A. and Conway, Alex and Farach-Colton, Martin and Johnson, Rob and Pandey, Prashant},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3677128},
        url = {https://dl.acm.org/doi/10.1145/3677128},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
9,463 Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding 2026 SIGMOD 5.2634238e-05
9,467 Sphinx: A Succinct Perfect Hash Index for x86 2025 VLDB 5.2634238e-05
10,300 To Adapt or Not to Adapt, That is the Ski Question 2026 SIGMOD 5.093636e-05
10,426 Aeris Filter: A Strongly and Monotonically Adaptive Range Filter 2026 SIGMOD 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers