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)
Incoming Non-self Citations Over Time
Authors
- 1. Jakub Lemiesz (Wrocław University of Science and Technology)
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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