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Levenshtein Distance: Two Applications in Database Record Linkage and Natural Language Processing

Bruno Woltzenlogel Paleo




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 | #12649042 in Books |  2010-06-04 | Original language:English | PDF # 1 |  8.66 x.22 x5.91l,.33 | File type: PDF | 96 pages

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In database record linkage or natural language processing tasks one usually encounters problems when working with data or texts containing noise, typos and other kinds of errors. In this thesis the use of modified Levenshtein edit distances to deal with these problems is investigated. For the task of linking distinct records representing the same entity in a database we used and extended the WEKA API for Machine Learning, obtaining good precision and recall results...

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