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Association Rules Analysis In R Programming: An Application With Apriori And Eclat Algorithms

Author

Listed:
  • Åžeyma Bozkurt UZAN

    (Ä°stanbul GeliÅŸim Ãœniversitesi)

  • Umman TuÄŸba GÃœRSOY

    (Ä°stanbul Ãœniversitesi)

  • Ãœmit DEMÄ°REÄžEN

    (İstanbul Üniversitesi İşletme Fakültesi)

Abstract

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.

Suggested Citation

  • Åžeyma Bozkurt UZAN & Umman TuÄŸba GÃœRSOY & Ãœmit DEMÄ°REÄžEN, 2020. "Association Rules Analysis In R Programming: An Application With Apriori And Eclat Algorithms," Eurasian Eononometrics, Statistics and Emprical Economics Journal, Eurasian Academy Of Sciences, vol. 16(16), pages 35-52, February.
    • Handle: RePEc:eas:econst:v:16:y:2020:i:16:p:35-52
    DOI: 10.17740/eas.stat.2020-V16-03
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