Abstract:
This study was conducted in order to make a Market Basket Analysis by using Association Rules mining through FP-Growth Algorithm. The data used in the study are transactions of customers in a UK based online retail outfit. Data were analyzed in the R Studio program and Spark using a data set containing 541910 transactions and 4070 different products. FP-Growth Algorithm was tried which are Association Rules algorithms, The best rule accordingly a customer who buys Regency Tea Plate Pink and Regency Tea Plate Roses also gets Regency Tea Plate Green with confidence 0.94 and the lift ratio value 64.3 Similarly, also other rules were interpreted in this study. As a result, product placement in the supermarket can be made according to these rules. Thus, sales of these products will increase and revenue will increase directly.
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