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LadderFilter: Filtering Infrequent Items with Small Memory and Time Overhead

Summary: Filters infrequent items in data streams with memory-friendly multi-LRU queues and SIMD-based LRU to cut time overhead. Applied to four sketch types, LadderFilter yields up to 60.6× accuracy and 1.37× throughput while keeping memory low; open-source. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6513
Venue
SIGMOD
Year
2023
Pagerank
4.6308128e-05
Overall Rank
7,870 | 45.26%
DOI
10.1145/3588690

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