DBScholar

Back to papers

Space Lower Bounds for Itemset Frequency Sketches

Summary: Shows space lower bounds for approximate itemset frequency estimation and threshold (frequent-itemset) detection: there exist database families forcing any sketch to be as large as a uniform sample. Hence uniform sampling is space-optimal up to constant or iterated-log factors. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1672
Venue
PODS
Year
2016
Pagerank
5.5181056e-05
Overall Rank
7,926 | 45.63%
DOI
10.1145/2902251.2902278

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{liberty_pods16,
        address = {New York, NY, USA},
        series = {{PODS} '16},
        title = {{Space Lower Bounds for Itemset Frequency Sketches}},
        url = {https://dl.acm.org/doi/10.1145/2902251.2902278},
        doi = {10.1145/2902251.2902278},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Liberty, Edo and Mitzenmacher, Michael and Thaler, Justin and Ullman, Jonathan},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,368 Towards Better Bounds for Finding Quasi-Identifiers * 2023 PODS 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 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