A Bloom filter is a space-efficient probabilistic data structure, conceived by Burton Howard Bloom in 1970, that is used to test whether an element is...
90 KB (10,778 words) - 18:16, 12 August 2024
A counting Bloom filter is a probabilistic data structure that is used to test whether the number of occurrences of a given element in a sequence exceeds...
6 KB (843 words) - 12:03, 26 February 2024
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....
7 KB (1,071 words) - 22:05, 28 July 2024
rate of ϵ {\displaystyle \epsilon } . Bloom filters are the most known AMQ filter, but there are other AMQ filters that support additional operations or...
11 KB (1,639 words) - 11:27, 8 April 2024
Bloom filters are space-efficient probabilistic data structures used to test whether an element is a part of a set. Bloom filters require much less space...
13 KB (1,702 words) - 08:39, 12 December 2023
Bloom filter, a probabilistic method to find a subset of a given set Bloom (shader effect), a graphics effect used in modern 3D computer games Bloom (software)...
7 KB (781 words) - 04:13, 28 March 2024
can be considered an implementation of a counting Bloom filter (Fan et al., 1998) or multistage-filter. However, they are used differently and therefore...
10 KB (1,345 words) - 03:26, 8 February 2024
quotient filter requires less space than a comparable Bloom filter when the target false-positive rate is less than 1/64. Quotient filters are AMQs and...
20 KB (2,664 words) - 05:02, 27 December 2023
to implement (lockless) priority queues and concurrent dictionaries. Bloom filter Skip graph Papadakis, Thomas (1993). Skip Lists and Probabilistic Analysis...
19 KB (2,414 words) - 00:33, 25 June 2024
hash tables. In 1970, Burton Howard Bloom introduced an approximate-membership data structure known as the Bloom filter. In 1989, Raimund Seidel and Cecilia...
32 KB (4,173 words) - 21:10, 30 March 2024