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Efficient and Tunable Similar Set Retrieval

Summary: Formalizes similarity-based indexing for set-valued attributes, reduced to similarity-preserving binary vectors in Hamming space. Proposes two data-structure primitives and a tunable, constraint-driven index; prototype experiments on real datasets show accuracy–efficiency tradeoffs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3273
Venue
SIGMOD
Year
2001
Pagerank
4.7180617e-05
Overall Rank
7,522 | 47.68%
DOI
-

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Rank Citing Paper Year Venue Pagerank
12,221 TACO: Tunable Approximate Computation of Outliers in Wireless Sensor Networks 2010 SIGMOD 4.1945683e-05
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