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How can advancements in the data science space such as vectorization, graph traversals and probabilistic record linkage, enhance entity resolution in multi-source data environments? NB: BoE ADS: I saw the end date was marked 28/07 but I think it was meant to be 28/06, so I silently corrected this.

dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorRico Cuevas, Ramon
dc.contributor.authorChen, Jiayi
dc.date.accessioned2024-08-29T00:01:56Z
dc.date.available2024-08-29T00:01:56Z
dc.date.issued2024
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/47449
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectHow can advancements in the data science space such as vectorization, graph traversals and probabilistic record linkage, enhance entity resolution in multi-source data environments? NB: BoE ADS: I saw the end date was marked 28/07 but I think it was meant to be 28/06, so I silently corrected this.
dc.titleHow can advancements in the data science space such as vectorization, graph traversals and probabilistic record linkage, enhance entity resolution in multi-source data environments? NB: BoE ADS: I saw the end date was marked 28/07 but I think it was meant to be 28/06, so I silently corrected this.
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuApplied Data Science
dc.thesis.id38106


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