Gittigidiyor Basket Analysis

Yılmaz, Kerem

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1149

Full metadata record

DC Field	Value	Language
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.identifier.citation	Yılmaz, K. (2017). Gittigidiyor basket analysis, MEF Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, Türkiye	en_US
dc.identifier.uri	https://hdl.handle.net/20.500.11779/1149	-
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.	en_US
dc.language.iso	en	en_US
dc.publisher	MEF Üniversitesi, Fen Bilimleri Enstitüsü	en_US
dc.rights	info:eu-repo/semantics/openAccess	en_US
dc.subject	Association rules	en_US
dc.subject	Market basket analysis	en_US
dc.subject	Apriori algorithm	en_US
dc.title	Gittigidiyor Basket Analysis	en_US
dc.title.alternative	Gittigidiyor sepet analizi	en_US
dc.type	Master's Degree Project	en_US
dc.identifier.wosquality	N/A	-
dc.identifier.scopusquality	N/A	-
dc.relation.publicationcategory	YL-Bitirme Projesi	en_US
dc.department	Büyük Veri Analitiği Yüksek Lisans Programı	en_US
dc.institutionauthor	Yılmaz, Kerem	-
item.languageiso639-1	en	-
item.fulltext	With Fulltext	-
item.grantfulltext	open	-
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
item.cerifentitytype	Publications	-
item.openairetype	Master's Degree Project	-
Appears in Collections:	FBE, Yüksek Lisans, Proje Koleksiyonu