Hadoop MapReduce implementation of Market Basket Analysis for Frequent Item-set and Association Rule mining using Apriori algorithm.

this is a backend application using springboot to implement the apriori method for association rules generation

This repository is used to find the association rules in huge data sets For eg: Market Basket Analysis. Apriori Algorithm is used to calculate frequent itemsets in transactions which in turn will be used to calculate Association rules.

Top K high utility itemset mining is a different approach to solve the problems in the field of pattern and association rule mining used in market basket analysis.