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Using Deep Learning to Perform Fuzzy Joins.

dc.contributor.authorGale, Abraham J.
dc.date.accessioned2019-04-11T14:24:44Z
dc.date.available2019-04-11T14:24:44Z
dc.date.issued2018-05
dc.identifier.citationUsing Deep Learning to Perform Fuzzy Joins. Gale, Abraham J. Thesis submitted in partial fulfillment of the requirements of the Jay and Jeanie Schottenstein Honors Program, Yeshiva College, Yeshiva University, May 2018.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12202/4345
dc.descriptionMentors: Professor Judah Diament and Kavitha Srinivas, Computer ScienceEnglish
dc.description.sponsorshipJay and Jeanie Schottenstein Honors Programen_US
dc.language.isoen_USen_US
dc.publisherYeshiva College. Yeshiva University.en_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectdeep learningen_US
dc.subjectfuzzy joinsen_US
dc.subjectcomputer scienceen_US
dc.subjectdata management systemsen_US
dc.subjectdata driven approachesen_US
dc.subjectdata miningen_US
dc.subjectentity matchingen_US
dc.subjectdeep neural networksen_US
dc.subjecttriplet loss networken_US
dc.subjectalgorithmsen_US
dc.titleUsing Deep Learning to Perform Fuzzy Joins.en_US
dc.title.alternativeThesis submitted in partial fulfillment of the requirements of the Jay and Jeanie Schottenstein Honors Program, Yeshiva College, Yeshiva University, May 2018.en_US
dc.typeThesisen_US


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