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Stable Learned Bloom Filters for Data Streams

Summary: Introduces Stable Learned Bloom Filters (SLBF) to stabilize updates in learned Bloom filters for data streams. Proposes s-SLBF and g-SLBF; theory: FPR constant under insertions; experiments: comparable FNR with improved FPR/storage vs non-learned Bloom filters. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12121
Venue
VLDB
Year
2020
Pagerank
6.1800659e-05
Overall Rank
4,446 | 69.08%
DOI
10.14778/3407790.3407830

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