These days, large amounts of data are produced by various
ways such as stock data, market basket transactions, IoT
sensors, etc. Such data can be accumulated and analyzed to
provide helpful information in our lives. With the rapid
development of IoT sensors and automated markets, the
market basket data can be automatically generated. For these
reasons, we choose the market basket data to analyze and find
the association rules between big data sets. To do the data
mining, we use R programming[1], which helps to organize
the data and to visualize the data sets.
Real Time Impact Factor:
Pending
Author Name: Jihyun Song
URL: View PDF
Keywords: Association Rules, Market Basket Analysis, R programming, Data mining
ISSN:
EISSN: 2320 - 2602
EOI/DOI: https://doi.org/ 10.30534/ijac
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