Data Mining Analysis of Retail Products Using the Association Method by Applying the Apriori Algorithm
Analisis Data Mining Produk Retail Menggunakan Metode Asosiasi Dengan Menerapkan Algoritma Apriori
DOI:
https://doi.org/10.21070/ups.735Keywords:
Apriori, Association, Data Mining, Dataset, RetailAbstract
Retail products are businesses that use association techniques that apply a priori algorithms that retrieve datasets from Github in the form of csv taken online that look for the confidence value of these items by having a minimum support value according to these items taken from various countries 4 countries for analysis. The purpose of this research is to find out the pattern of association which aims to find the largest value taken from 4 countries according to each item using a priori analysis to find out what is related to the data it has as many as 541,910 purchases of retail products by consumers in the form of a dataset that I get the data via online from github in csv form using jypter notebook.
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