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  2. Count–min sketch - Wikipedia

    en.wikipedia.org/wiki/Countmin_sketch

    The countmin sketch was invented in 2003 by Graham Cormode and S. Muthu Muthukrishnan [1] and described by them in a 2005 paper. [2] Countmin sketch is an alternative to count sketch and AMS sketch and can be considered an implementation of a counting Bloom filter (Fan et al., 1998 [3]) or multistage-filter. [1]

  3. Redis - Wikipedia

    en.wikipedia.org/wiki/Redis

    Bloom filter, Cuckoo filter, Countmin sketch, and Top-K – RedisBloom [55] implements a set of probabilistic data structures for Redis; Others [56] Former implementations include: Graph – RedisGraph [57] implements a queryable property graph RedisGraph has been discontinued, [58] and continued in the form of a fork called FalkorDB. [59]

  4. HyperLogLog - Wikipedia

    en.wikipedia.org/wiki/HyperLogLog

    The HyperLogLog has three main operations: add to add a new element to the set, count to obtain the cardinality of the set and merge to obtain the union of two sets. Some derived operations can be computed using the inclusion–exclusion principle like the cardinality of the intersection or the cardinality of the difference between two HyperLogLogs combining the merge and count operations.

  5. Count sketch - Wikipedia

    en.wikipedia.org/wiki/Count_Sketch

    Count sketch is a type of dimensionality reduction that is particularly efficient in statistics, machine learning and algorithms. [1] [2] It was invented by Moses Charikar, Kevin Chen and Martin Farach-Colton [3] in an effort to speed up the AMS Sketch by Alon, Matias and Szegedy for approximating the frequency moments of streams [4] (these calculations require counting of the number of ...

  6. Bloom filter - Wikipedia

    en.wikipedia.org/wiki/Bloom_filter

    Countmin sketch – Probabilistic data structure in computer science; Feature hashing – Vectorizing features using a hash function; MinHash – Data mining technique; Quotient filter; Skip list – Probabilistic data structure; Bloom filters in bioinformatics; Cuckoo filter – Data structure for approximate set membership

  7. Selection algorithm - Wikipedia

    en.wikipedia.org/wiki/Selection_algorithm

    It is not possible for a streaming algorithm with memory sublinear in both and to solve selection queries exactly for dynamic data, but the countmin sketch can be used to solve selection queries approximately, by finding a value whose position in the ordering of the elements (if it were added to them) would be within steps of , for a sketch ...

  8. Skip list - Wikipedia

    en.wikipedia.org/wiki/Skip_list

    function lookupByPositionIndex(i) node ← head i ← i + 1 # don't count the head as a step for level from top to bottom do while i ≥ node.width[level] do # if next step is not too far i ← i - node.width[level] # subtract the current width node ← node.next[level] # traverse forward at the current level repeat repeat return node.value end ...

  9. Redis (company) - Wikipedia

    en.wikipedia.org/wiki/Redis_(company)

    Redis Ltd. (originally Redis Labs, Garantia Data) is an American private computer software company headquartered in Mountain View, California. Redis is the sponsor of the source-available in-memory NoSQL database of the same name and the provider of Redis Enterprise software, cloud services, and tools for global companies. [ 2 ]