Market Basket Analysis is a special case of Association Rules Mining. Using data mining techniques on transactional data leads to the generation of association rules and finding correlations between products in the records. The main concept of association rules is to examine all possible rules between items and turn them into ‘if-then’ statements.

In order to generate association rules, the Apriori algorithm uses a level-wise approach, where each level corresponds to the number of items that belong to the rule consequent. At first, all the high confidence rules that have only one item in the rule consequent are extracted.

This contains the complete code for performing association rules mining.

In this section we discuss various methods of recommenders system in use.?