You can see transactions numbered 1 to 5. What are the trending items customers buy.Changing the store layout according to trends.Clients can use those rules for numerous marketing strategies: In simple words, it gives you output as rules in form if this then that. It can tell you what items do customers frequently buy together by generating a set of rules called Association Rules. The applications of Association Rule Mining are found in Marketing, Basket Data Analysis (or Market Basket Analysis) in retailing, clustering and classification. How to implement MBA/Association Rule Mining using R with VisualizationsĪssociation Rule Mining is used when you want to find an association between different objects in a set, find frequent patterns in a transaction database, relational databases or any other information repository.What is Association Rule Mining and Applications.To find results that will help your client, you will use Market Basket Analysis (MBA) which uses Association Rule Mining on the given transaction data. Your client will use your findings to not only change/update/add items in inventory but also use them to change the layout of the physical store or rather an online store. Your client gives you data for all transactions that consists of items bought in the store by several customers over a period of time and asks you to use that data to help boost their business. You are a data scientist (or becoming one!), and you get a client who runs a retail store.
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