Associated Rule Mining Algorithm for Market Basket Analysis: An Iterative Approach for Generating Rules for Data Science Applications

In today’s competitive e-business era it is essential to observe frequently occurring patterns and associations or correlations from data-sets found in various kinds of large transactional databases and relational databases. Traditionally this can be achieved with the help of market basket analysis to some extent. Researchers in this paper explores an appropriate solution that can deduced with the help of Association Rule Mining (ARM) algorithm. Further theresearcher’sidentifiedd some uses case scenarios of Associated Rule Mining Algorithm for Market Basket Analysis.