Profit-based Frequent Itemset Mining in Market Basket Analysis

This paper proposes a method that discover the frequent item set which has the maximum profit. The proposed method is very fast with lowcomputational complex. The purpose of this paper is to maximize the profit of retailer and suggestion an approach to guide the seller in order to arrange the product in shelves and rakes easily which customer be encourage to purchase more. The algorithm have been tested on a real dataset. Experimental results show the algorithm has good performance

Keywords:

Market Basket Analyzing (MBA) , Profit , Retail , Transaction Data