Market basket analysis using artificial neural network

Abstract

Market basket analysis is based upon the identification and analysis of purchasing patterns of the customers. The problem with market basket analysis is the varying needs of the customers with respect to seasons and time and so we need to perform it time and again. Another problem that arises while doing market basket analysis is with Apriori algorithm in which we need to find candidate sets and frequent item-sets time and again. In this paper, we are suggesting the use of artificial neural network technique to overcome these problems. We have used single layer feed-forward partially connected neural network technique for this purpose.