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Avrasya Ekonometri �statistik ve Ampirik Ekonomi DergisiYl:2020 Say: 16 Alan: Nicel Karar Yntemleri

eyma Bozkurt UZAN, Umman Tuba GRSOY, mit DEMREEN
MTERLERN TKETM ALIKANLIKLARININ APROR VE ECLAT ALGORTMALARI LE R ORTAMINDA DEERLENDRLMES: BR E-TCARET STES UYGULAMASI
 
Veri madencilii byk veri ynlarndan anlaml bilgilerin elde edildii disiplinlerden biridir. ok geni kullanm ve uygulama alanlar bulunmakla birlikte, bu almada bir e-ticaret sitesinde, mterilerin birlikte satn aldklar rnlerin analizini yapmak iin kullanlmtr. Bu almada internet sitesi zerinden alveri yapan mterilerin birlikte satn aldklar rnler ve rn gruplar ile satn alma alkanlklarnn elde edilmesi amalanmtr. Bu sebeple Birliktelik kurallar analizi uygulanmtr. Destek, gven oranlar ile tketicilerin satn alma ilemi gerekletirdii rn kategorilerinin sralama ilemleri gerekletirilmitir. Uygulamada R programlama dili kullanlm, analiz sonular Apriori ve Eclat algoritmalar ile elde edilmitir.

Anahtar Kelimeler: Birliktelik Kurallar, Apriori, Eclat, R Programlama, E-Ticaret, Veri Madencilii.


ASSOCIATION RULES ANALYSIS IN R PROGRAMMING: AN APPLICATION WITH APRIORI AND ECLAT ALGORITHMS
 
Data mining is one of the disciplines in which meaningful information is obtained from large data stacks. Although it has a wide range of uses and applications, this study was used in an e-commerce site to analyze the products that customers bought together. In this study, it is aimed to obtain the buying habits with the products and product groups purchased by customers who shop on the website. For this reason, Association rules analysis has been applied. The sorting processes of the product categories that the consumers made purchases with support, trust rates were realized. R programming language was used in the application, the analysis results were obtained with Apriori and Eclat algorithms.

Keywords: Association Rules, Apriori, Eclat, R Programming, E-Commerce, Data Mining.


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