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Efficient Bounded Jaro-Winkler Similarity Based Search

dc.contributor.authorKeil, Jan Martin
dc.contributor.editorGrust, Torsten
dc.contributor.editorNaumann, Felix
dc.contributor.editorBöhm, Alexander
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorHärder, Theo
dc.contributor.editorRahm, Erhard
dc.contributor.editorHeuer, Andreas
dc.contributor.editorKlettke, Meike
dc.contributor.editorMeyer, Holger
dc.date.accessioned2019-04-11T07:21:15Z
dc.date.available2019-04-11T07:21:15Z
dc.date.issued2019
dc.description.abstractThe Jaro-Winkler similarity is a widely used measure for the similarity of strings. We propose an efficient algorithm for the bounded search of similar strings in a large set of strings. We compared our approach to the naive approach and the approach by Dreßler et al. Our results prove a significant improvement of the efficiency in computation of the bounded Jaro-Winkler similarity for querying of similar strings.en
dc.identifier.doi10.18420/btw2019-13
dc.identifier.isbn978-3-88579-683-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/21697
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBTW 2019
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) – Proceedings, Volume P-289
dc.subjectJaro-Winkler Similarity
dc.subjectSimilarity Search
dc.subjectString Similarity
dc.titleEfficient Bounded Jaro-Winkler Similarity Based Searchen
gi.citation.endPage214
gi.citation.startPage205
gi.conference.date4.-8. März 2019
gi.conference.locationRostock
gi.conference.sessiontitleWissenschaftliche Beiträge

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