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Intell."],"published-print":{"date-parts":[[2020,12,30]]},"abstract":"<jats:p>Record linkage is the task for identifying which records refer to the same entity. When records in different data sources do not have a common key and they contain typographical errors in their identifier fields, the extended Fellegi\u2013Sunter probabilistic record linkage method with consideration of field similarity proposed by Winkler, is one of the most effective methods to perform record linkage to our knowledge. But this method has a limitation that it cannot efficiently handle the problem of missing value in the fields, an inappropriate weight is assigned to record pair containing missing data. Therefore, to improve the performance of Winkler\u2019s probabilistic record linkage method in presence of missing value, we proposed a solution for adjusting record pair\u2019s weight when missing data occurred, which allows enhancing the accuracy of the Winkler\u2019s record linkage decisions without increasing much more computational time.<\/jats:p>","DOI":"10.1142\/s0218001420590466","type":"journal-article","created":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T08:21:22Z","timestamp":1582273282000},"page":"2059046","source":"Crossref","is-referenced-by-count":1,"title":["Field Weights Computation for Probabilistic Record Linkage in Presence of Missing Data"],"prefix":"10.1142","volume":"34","author":[{"given":"Yinghao","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Mathematics and Statistics, College of Science, Huazhong Agricultural University, Wuhan 430070, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Senlin","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, College of Science, Huazhong Agricultural University, Wuhan 430070, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingfan","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, College of Science, Huazhong Agricultural University, Wuhan 430070, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5678-6829","authenticated-orcid":false,"given":"Xinran","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, College of Science, Huazhong Agricultural University, Wuhan 430070, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2020,4,30]]},"reference":[{"key":"S0218001420590466BIB001","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.is.2017.07.001","volume":"71","author":"Chi Y.","year":"2017","journal-title":"Inf. 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