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Cuckoo filter information


A cuckoo filter is a space-efficient probabilistic data structure that is used to test whether an element is a member of a set, like a Bloom filter does. False positive matches are possible, but false negatives are not – in other words, a query returns either "possibly in set" or "definitely not in set". A cuckoo filter can also delete existing items, which is not supported by Bloom filters. In addition, for applications that store many items and target moderately low false positive rates, cuckoo filters can achieve lower space overhead than space-optimized Bloom filters.[1]

Cuckoo filters were first described in 2014.[2]

  1. ^ Michael D. Mitzenmacher. "Bloom Filters, Cuckoo Hashing, Cuckoo Filters, Adaptive Cuckoo Filters, and Learned Bloom Filters".
  2. ^ Fan, Bin; Andersen, Dave G.; Kaminsky, Michael; Mitzenmacher, Michael D. (2014). Cuckoo filter: Practically better than Bloom. Proc. 10th ACM International on Conference on Emerging Networking Experiments and Technologies (CoNEXT '14). Sydney, Australia. pp. 75–88. doi:10.1145/2674005.2674994. ISBN 9781450332798.

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