Paper Title
Prediction of Product on the Basis of Product Selected by Customer using Apriori Algorithm

Abstract
Using data mining and association rule mining to find relevant relations among products to increase the sales and generate more revenue is a great practice nowadays. By providing attractive discounts on products being sold together is a masterstroke in increasing sales, which is good and profitable, but there is always room for improvement. There are some products which have high demands in market and the reason behind their frequent sales in not with other products and it is due to their supply and demand. So to provide discounts on such products is, in a way a loss for a retailer. So instead of just following association rules generated by using Apriori algorithm, supply and demand and discount factors can be used to increase sales but moreover increasing the profit margin and will help in arrangement of such products in such a way to make shopping efficient for consumer but also to try giving him a better tour of store and products. This work predicts the product as per the products selected by customer by using the association rules generated using apriori algorithm. Keywords - Market Basket Analysis, Apriori Algorithm, Discounts, Supply and Demand