Apriori algorithm implementation in R
Introduction it is an algorithm for frequent itemset mining and association rule learning over transactional databases. It proceeds by identifying the frequent individual items in the database and extending them to larger and larger item sets as long as those itemsets appear sufficiently often in the database. The frequent itemsets determined by Apriori can be used to determine association rules which highlight general trends in the database , this has applications in domains such as market basket analysis . This post is about the implementation of the apriori algorithm in R not to the detailed explanation of it. First, Download and install R Studio from link if it is not installed in your system. 1. First, install the required packages named - arules and apriori. Go to Tools -> Install Packages --> arules/apriori 2. Importing your data set The data import features can be access...