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There is a page named "Bloom filter" on Wikipedia
- 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 (10,756 words) - 17:17, 10 June 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) - 02:43, 25 January 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
- 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
- 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
- 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) - 00:34, 28 December 2023
- 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
- exist improvements of the Bloom filter which improve on its complexity or support deletion; for example, the cuckoo filter exploits cuckoo hashing to...74 KB (9,632 words) - 12:10, 13 June 2024
- Bloom filter in multiple respects: its memory usage is smaller by a constant factor, it has better locality of reference, and (unlike Bloom filters)...23 KB (2,557 words) - 02:00, 13 February 2024
- space usage is much more efficient. Each document can be summarized by Bloom filter representing the set of words in that document, stored in a fixed-length...10 KB (1,389 words) - 02:49, 9 December 2023
- tree Expression tree Log-structured merge-tree Bloom filter Binary fuse filter Cuckoo filter Xor filter Count–min sketch Distributed hash table Double...9 KB (911 words) - 14:48, 5 March 2024
- of a series on Probabilistic data structures Bloom filter Count sketch Count–min sketch Quotient filter Skip list Random trees Random binary tree Treap...13 KB (1,874 words) - 18:44, 14 March 2024
- implements a time series data structure Bloom filter, Cuckoo filter, Count–min sketch, and Top-K – RedisBloom implements a set of probabilistic data structures...29 KB (2,637 words) - 05:21, 14 May 2024
- a C++ object hasher InterPlanetary File System (IPFS) for its seven Bloom filter hashes Implementations C (Public domain reference implementation) C++...13 KB (1,338 words) - 13:36, 23 May 2024
- Among the typical uses of the non-cryptographic hash functions are bloom filters, hash tables, and count sketches. These applications require, in addition...7 KB (801 words) - 21:59, 4 May 2024
- use multiple bits per pixel. Another application of bit arrays is the Bloom filter, a probabilistic set data structure that can store large sets in a small...21 KB (2,898 words) - 00:42, 14 October 2023
- hash functions when the hash functions are treated as a set, as in Bloom filters: If h 2 ( y ) = − h 2 ( x ) {\displaystyle h_{2}(y)=-h_{2}(x)} and h...9 KB (1,570 words) - 10:56, 18 May 2024
- Wikipedia has an article on: Bloom filter Wikipedia Conceived by Burton Howard Bloom in 1970. Bloom filter (plural Bloom filters) (computing theory) A space-efficient
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- once before you can use this index type). This extension implements a Bloom filter that offers an advantage over B-trees in cases where the first columns