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dc.contributorAgeno Pulido, Alicia
dc.contributor.authorDi Francesco, Fabio
dc.coverage.spatialeast=139.69170639999993; north=35.6894875; name=2 Chome-8 Nishishinjuku, Shinjuku, Tokyo 160-0023, Japó
dc.date.accessioned2019-01-28T11:19:40Z
dc.date.available2019-01-28T11:19:40Z
dc.date.issued2018-10
dc.identifier.urihttp://hdl.handle.net/2117/127680
dc.description.abstractThis thesis is a work in the field of machine learning and data mining that adopts unsupervised learning to automate the process of weather forecasting, applied in this specific scope to sail racing, to be used during the Olympic Games of Tokyo 2020.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshMachine learning
dc.subject.lcshData mining
dc.subject.lcshCluster analysis
dc.subject.otherclustering
dc.titleWind pattern analysis applied to Tokyo 2020 Olympic Games
dc.typeMaster thesis
dc.subject.lemacAprenentatge automàtic
dc.subject.lemacMineria de dades
dc.subject.lemacAnàlisi de conglomerats
dc.identifier.slug135641
dc.rights.accessOpen Access
dc.date.updated2018-10-25T04:00:54Z
dc.audience.educationlevelMàster


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