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- String_metric abstract "In mathematics and computer science, a string metric (also known as a string similarity metric or string distance function) is a metric that measures similarity or dissimilarity (distance) between two text strings for approximate string matching or comparison and in fuzzy string searching. For example the strings "Sam" and "Samuel" can be considered to be similar. A string metric provides a number indicating an algorithm-specific indication of similarity.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 score 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.A widespread example of a string metric is DNA sequence analysis and RNA analysis, which are performed by optimised string metrics to identify matching sequences.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, Web interfaces, e.g. Ajax-style suggestions as you type, data integration, and semantic knowledge integration.".
- String_metric wikiPageExternalLink stringmetric.
- String_metric wikiPageExternalLink stringmetrics.html.
- String_metric wikiPageExternalLink ukkonen.
- String_metric wikiPageExternalLink www.speech.cs.cmu.edu.
- String_metric wikiPageExternalLink natural.
- String_metric wikiPageID "9809306".
- String_metric wikiPageRevisionID "605631802".
- String_metric hasPhotoCollection String_metric.
- String_metric subject Category:Metrics.
- String_metric subject Category:String_similarity_measures.
- String_metric type Abstraction100002137.
- String_metric type Act100030358.
- String_metric type Action100037396.
- String_metric type Choice100161243.
- String_metric type Decision100162632.
- String_metric type Event100029378.
- String_metric type Maneuver100168237.
- String_metric type Measure100174412.
- String_metric type Move100165942.
- String_metric type PsychologicalFeature100023100.
- String_metric type StringSimilarityMeasures.
- String_metric type YagoPermanentlyLocatedEntity.
- String_metric comment "In mathematics and computer science, a string metric (also known as a string similarity metric or string distance function) is a metric that measures similarity or dissimilarity (distance) between two text strings for approximate string matching or comparison and in fuzzy string searching. For example the strings "Sam" and "Samuel" can be considered to be similar.".
- String_metric label "String metric".
- String_metric label "Коэффициент сходства".
- String_metric sameAs m.02psx3h.
- String_metric sameAs Q9050568.
- String_metric sameAs Q9050568.
- String_metric sameAs String_metric.
- String_metric wasDerivedFrom String_metric?oldid=605631802.
- String_metric isPrimaryTopicOf String_metric.