The proposed approach is performing market basket analysis using the Apriori algorithm and Classification rule Based Association algorithm (CBA) based on accuracy parameter. The motivation behind the approach is to know the customer’s interest towards the products .The objective is to enhance the sales of the business. The approach is using online retail dataset. In the market basket analysis, the frequently purchased items by the customer were analyzed by the admin, the admin keep track of the items purchased by the customers. The admin can also know the purchasing habits of the customers, which will help to improve the quality and quality of the product. This task will be time consuming if performed manually, but the proposed approach reduces the time and improves performance and efficiency of analysis. The analysis helps admin to think about the different strategy to improve the sale. The proposed approach has been implemented in R language. The accuracy is more using Classification rule Based Association algorithm (CBA).

Apriori,Classification rule Based Association algorithm, Data mining, Business Data Processing,R programming

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