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On the algebra of data sketches

Summary: Introduces a mergeable sketch algebra for distributed streams, supporting unions, intersections, and weighted-set cardinalities across many sketches. Handles weighted elements and large simultaneous operations with lightweight computation and explicit accuracy–space/cost guarantees. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12540
Venue
VLDB
Year
2021
Pagerank
5.3884066e-05
Overall Rank
8,667 | 40.54%
DOI
10.14778/3461535.3461553

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lemiesz_vldb21,
        title = {{On the algebra of data sketches}},
        author = {Lemiesz, Jakub},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {9},
        pages = {1655--1667},
        doi = {10.14778/3461535.3461553},
        url = {https://doi.org/10.14778/3461535.3461553},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,666 Efficient framework for operating on data sketches 2023 VLDB 5.3884066e-05
9,188 OmniSketch: Efficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates 2024 VLDB 5.3058708e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
451 Mergeable Summaries 2012 PODS 0.00018151445
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