Gittigidiyor Basket Analysis

dc.contributor.author Yılmaz, Kerem
dc.date.accessioned 2019-11-07T15:31:30Z
dc.date.available 2019-11-07T15:31:30Z
dc.date.issued 2017
dc.description.abstract Data Mining is becoming more important for lots of sector and companies worlwide. Because, it can find patterns, correlations, anomalies in the databases which can help us to make accurate future decision. Data Mining contains of various statistical analyses that reveal unknown aspect of the data. Data Mining encompasses a huge variety of statistical and computational technigues such as; Market Basket Analysis, Clustering, Classification and Regression Analyses.
dc.identifier.citation Yılmaz, K. (2017). Gittigidiyor basket analysis, MEF Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, Türkiye
dc.identifier.uri https://hdl.handle.net/20.500.11779/1149
dc.language.iso en
dc.publisher MEF Üniversitesi, Fen Bilimleri Enstitüsü
dc.rights info:eu-repo/semantics/openAccess
dc.subject Association rules
dc.subject Market basket analysis
dc.subject Apriori algorithm
dc.title Gittigidiyor Basket Analysis
dc.title.alternative Gittigidiyor sepet analizi
dc.type Master's Degree Project
dspace.entity.type Publication
gdc.author.institutional Yılmaz, Kerem
gdc.coar.access open access
gdc.coar.type text::thesis::master thesis
gdc.description.department Lisansüstü Eğitim Enstitüsü, Büyük Veri Analitiği Yüksek Lisans Programı
gdc.description.publicationcategory YL-Bitirme Projesi
gdc.description.scopusquality N/A
gdc.description.wosquality N/A
relation.isOrgUnitOfPublication a6e60d5c-b0c7-474a-b49b-284dc710c078
relation.isOrgUnitOfPublication.latestForDiscovery a6e60d5c-b0c7-474a-b49b-284dc710c078

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