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Search engine indexing algorithm. License. MIT License. Website. bitfunnel .org. BitFunnel is the search engine indexing algorithm and a set of components used in the Bing search engine, [1] which were made open source in 2016. [2] BitFunnel uses bit-sliced signatures instead of an inverted index in an attempt to reduce operations cost.
String-searching algorithm. In computer science, string-searching algorithms, sometimes called string-matching algorithms, are an important class of string algorithms that try to find a place where one or several strings (also called patterns) are found within a larger string or text. A basic example of string searching is when the pattern and ...
In computer science, a search algorithm is an algorithm designed to solve a search problem. Search algorithms work to retrieve information stored within particular data structure, or calculated in the search space of a problem domain, with either discrete or continuous values . Although search engines use search algorithms, they belong to the ...
Binary search Visualization of the binary search algorithm where 7 is the target value Class Search algorithm Data structure Array Worst-case performance O (log n) Best-case performance O (1) Average performance O (log n) Worst-case space complexity O (1) Optimal Yes In computer science, binary search, also known as half-interval search, logarithmic search, or binary chop, is a search ...
MassMatrix is a database search algorithm for tandem mass spectrometric data. It uses a mass accuracy-sensitive, probabilistic scoring model to rank peptide and protein matches. MassWiz Open source: MassWiz is a search algorithm developed at the Institute of Genomics and Integrative Biology that can be used as a Windows command-line tool.
The Boyer–Moore algorithm uses information gathered during the preprocess step to skip sections of the text, resulting in a lower constant factor than many other string search algorithms. In general, the algorithm runs faster as the pattern length increases. The key features of the algorithm are to match on the tail of the pattern rather than ...
Nearest neighbor search. Nearest neighbor search ( NNS ), as a form of proximity search, is the optimization problem of finding the point in a given set that is closest (or most similar) to a given point. Closeness is typically expressed in terms of a dissimilarity function: the less similar the objects, the larger the function values.
Search data structure. In computer science, a search data structure[citation needed] is any data structure that allows the efficient retrieval of specific items from a set of items, such as a specific record from a database . The simplest, most general, and least efficient search structure is merely an unordered sequential list of all the items.