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Fast Set Intersection in Memory

Summary: Linear-space in-memory set representations enable fast intersections. For k preprocessed sets of total size n, intersection runs in expected time O(n/√w + k r); a simpler variant favors practical speed with weaker guarantees, both beating state-of-the-art on synthetic and real workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10256
Venue
VLDB
Year
2011
Pagerank
8.7344475e-05
Overall Rank
2,465 | 82.87%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
8 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0015436578
1,121 Improving the Performance of List Intersection 2009 VLDB 0.00013838956
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