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En mathématiques et en informatique théori … En mathématiques et en informatique théorique, une mesure de similarité, plus exactement une mesure de distance entre mots, est une façon de représenter par un nombre la différence entre deux mots, ou plus généralement deux chaînes de caractères. Cela permet de comparer des mots ou chaines de façon simple et pratique. C'est donc une forme de distance mathématique et de métrique pour les chaînes de caractères. En programmation, la mesure la plus simple et la plus courante est la distance de Levenshtein : elle est obtenue en comptant le nombre de modification de caractères individuels (ajout, retrait, ou changement) pour passer d'une chaîne à l'autre. Elle est utilisée dans la recherche approximative ou la comparaison de chaînes, aussi appelée en anglais fuzzy string searching.appelée en anglais fuzzy string searching.
, In mathematics and computer science, a str … In mathematics and computer science, a string metric (also known as a string similarity metric or string distance function) is a metric that measures distance ("inverse similarity") between two text strings for approximate string matching or comparison and in fuzzy string searching. A requirement for a string metric (e.g. in contrast to string matching) is fulfillment of the triangle inequality. For example, the strings "Sam" and "Samuel" can be considered to be close. A string metric provides a number indicating an algorithm-specific indication of distance. The most widely known string metric is a rudimentary one called the Levenshtein distance (also known as edit distance). It operates between two input strings, returning a number equivalent to the number of substitutions and deletions needed in order to transform one input string into another. Simplistic string metrics such as Levenshtein distance have expanded to include phonetic, token, grammatical and character-based methods of statistical comparisons. String metrics are used heavily in information integration and are currently used in areas including fraud detection, fingerprint analysis, plagiarism detection, ontology merging, DNA analysis, RNA analysis, image analysis, evidence-based machine learning, database data deduplication, data mining, incremental search, data integration, Malware Detection, and semantic knowledge integration.ction, and semantic knowledge integration.
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http://rockymadden.com/stringmetric/ +
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7312
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*
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https://web.archive.org/web/%2A/http:/www.dcs.shef.ac.uk/~sam/stringmetrics.html%23ukkonen +
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| rdfs:comment |
In mathematics and computer science, a str … In mathematics and computer science, a string metric (also known as a string similarity metric or string distance function) is a metric that measures distance ("inverse similarity") between two text strings for approximate string matching or comparison and in fuzzy string searching. A requirement for a string metric (e.g. in contrast to string matching) is fulfillment of the triangle inequality. For example, the strings "Sam" and "Samuel" can be considered to be close. A string metric provides a number indicating an algorithm-specific indication of distance.algorithm-specific indication of distance.
, En mathématiques et en informatique théori … En mathématiques et en informatique théorique, une mesure de similarité, plus exactement une mesure de distance entre mots, est une façon de représenter par un nombre la différence entre deux mots, ou plus généralement deux chaînes de caractères. Cela permet de comparer des mots ou chaines de façon simple et pratique. C'est donc une forme de distance mathématique et de métrique pour les chaînes de caractères.e métrique pour les chaînes de caractères.
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| rdfs:label |
Mesure de similarité
, String metric
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