Hash Adaptive Bloom Filter

2021 IEEE 37th International Conference on Data Engineering (ICDE)(2021)

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摘要
Bloom filter is a compact memory-efficient probabilistic data structure supporting membership testing, i.e., to check whether an element is in a given set. However, as Bloom filter maps each element with uniformly random hash functions, few flexibilities are provided even if the information of negative keys (elements are not in the set) are available. The problem gets worse when the misidentificat...
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关键词
Bloom filter,Hash adaptation,Membership testing
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