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Streaming Quotient Filter: A Near Optimal Approximate Duplicate Detection Approach for Data Streams

Summary: Proposes Streaming Quotient Filter (SQF), a signature-based data structure with eviction for real-time, memory-efficient duplicate detection on unbounded streams. Offers near-zero FP/FN; Dynamic SQF for evolving streams, with parallel implementation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10722
Venue
VLDB
Year
2013
Pagerank
4.6051162e-05
Overall Rank
8,015 | 44.25%
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
619 On Computing Correlated Aggregates Over Continual Data Streams 2001 SIGMOD 0.00019066583
781 Spectral Bloom Filters 2003 SIGMOD 0.00016741046
1,248 Don't Thrash: How to Cache Your Hash on Flash 2012 VLDB 0.00013046661
2,589 DogmatiX Tracks down Duplicates in XML 2005 SIGMOD 8.4847146e-05
3,838 Approximately Detecting Duplicates for Streaming Data using Stable Bloom Filters 2006 SIGMOD 6.7134945e-05
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