Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1156
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dc.contributor.advisorÇakar, Tuna-
dc.contributor.authorYıldırım, Burak-
dc.date.accessioned2019-11-12T13:41:59Z
dc.date.available2019-11-12T13:41:59Z
dc.date.issued2017-
dc.identifier.citationYıldırım, B. (2017). Underlying the bias for human music evaluation, MEF Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, Türkiyeen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11779/1156-
dc.description.abstractPredictive analysis is the process of using data analytics to predict the future over historical data. Data analytics is the use of statistical modelling and / or machine learning methods to measure the future. In short, it is one of the data mining techniques for predictive analysis that focuses on creating a predictive model for the future by extracting relationships from the data.en_US
dc.language.isoenen_US
dc.publisherMEF Üniversitesi, Fen Bilimleri Enstitüsüen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDEAPen_US
dc.subjectEmotion Analysisen_US
dc.subjectPCAen_US
dc.subjectOver-Samplingen_US
dc.subjectClassificationen_US
dc.subjectDuygu Analizien_US
dc.subjectSınıflandırmaen_US
dc.titleUnderlying the Bias for Human Music Evaluationen_US
dc.title.alternativeİnsanların müzik değerlendirme basamaklarının ilişkilendirilmesien_US
dc.typeMaster's Degree Projecten_US
dc.relation.publicationcategoryYL-Bitirme Projesien_US
dc.departmentBüyük Veri Analitigi Yüksek Lisans Programıen_US
dc.institutionauthorYıldırım, Burak-
item.fulltextWith Fulltext-
item.openairetypeMaster's Degree Project-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:FBE, Yüksek Lisans, Proje Koleksiyonu
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