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https://hdl.handle.net/20.500.12202/4345
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DC Field | Value | Language |
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dc.contributor.author | Gale, Abraham J. | |
dc.date.accessioned | 2019-04-11T14:24:44Z | |
dc.date.available | 2019-04-11T14:24:44Z | |
dc.date.issued | 2018-05 | |
dc.identifier.citation | Using 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.uri | https://hdl.handle.net/20.500.12202/4345 | |
dc.description | Mentors: Professor Judah Diament and Kavitha Srinivas, Computer Science | English |
dc.description.sponsorship | Jay and Jeanie Schottenstein Honors Program | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Yeshiva College. Yeshiva University. | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | deep learning | en_US |
dc.subject | fuzzy joins | en_US |
dc.subject | computer science | en_US |
dc.subject | data management systems | en_US |
dc.subject | data driven approaches | en_US |
dc.subject | data mining | en_US |
dc.subject | entity matching | en_US |
dc.subject | deep neural networks | en_US |
dc.subject | triplet loss network | en_US |
dc.subject | algorithms | en_US |
dc.title | Using Deep Learning to Perform Fuzzy Joins. | en_US |
dc.title.alternative | 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.type | Thesis | en_US |
Appears in Collections: | Jay and Jeanie Schottenstein Honors Student Theses |
Files in This Item:
File | Description | Size | Format | |
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Yehuda Gale Senior Honors Thesis 2018.pdf Restricted Access | PDF Rynhold OCR | 2.99 MB | Adobe PDF | View/Open |
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