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dc.contributor.advisorLópez de Lacalle Lecuona, Oier ORCID
dc.contributor.advisorSoroa Echave, Aitor ORCID
dc.contributor.authorPérez Sena, Francis Damián
dc.date.accessioned2018-10-05T09:53:32Z
dc.date.available2018-10-05T09:53:32Z
dc.date.issued2018-09-25
dc.identifier.urihttp://hdl.handle.net/10810/28984
dc.description.abstractThe problem to address is the accommodations deduplication. The deduplication is a special case of entity resolution (ER) consisting in grouping different representa- tions of the same entity, usually coming from different sources. The deduplication is a complex process that requires several phases, being the most common ones, block- ing and pair resolution. A new phase is introduced in addition to the previous ones, clustering, that was not considered in previous work. We aim to build a framework able to cover the different phases and design a strategy of clustering maximizing the precision with the maximal possible recall.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectaccomodationes_ES
dc.subjectentity resolutiones_ES
dc.subjectclusteringes_ES
dc.titleAccommodations deduplicationes_ES
dc.typeinfo:eu-repo/semantics/masterThesises_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 Españaes_ES


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Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España