Market Basket Analysis Approach to Machine Learning

Abstract

Market Basket Analysis is an important aspect of a retail organization's analytical framework for deciding where products should be placed and developing sales promotions for various segments of consumers to increase customer loyalty and, as a result, benefit. The market is the well-known activity of ARM ultimately used for business intelligent decisions. Market Basket Analysis is a data mining technique that can be used in various fields, such as marketing, bioinformatics, education field, nuclear science, etc. Our objective here is that traders can further improve their business. At the same time, they can make more profits and invest more and more. This will be of great benefit. If the business of traders increases, many people will get employment, as well as customers, will be able to make their way of life easier by getting familiar with different things. Here is a discussion on their methods so that traders in Bangladesh can make proper investments in the right place. The frequent item sets are mined from the database using the Apriori algorithm and then the association rules are generated. The project will assist supermarket managers in determining the relationship between the items that their customers purchase.