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SetSketch: Filling the Gap between MinHash and HyperLogLog

Summary: SetSketch bridges MinHash and HyperLogLog with a commutative, idempotent insert and mergeable state for distributed sketches. It delivers fast, robust estimators for cardinality and joint quantities, enables similarity search, and its joint estimator often outperforms state-of-the-art on related structures. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12401
Venue
VLDB
Year
2021
Pagerank
5.6337581e-05
Overall Rank
5,200 | 63.83%
DOI
10.14778/3476249.3476276

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,451 Efficient framework for operating on data sketches 2023 VLDB 4.5086031e-05
9,038 OmniSketch: Efficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates 2024 VLDB 4.4039656e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

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