International Journal of Computer Applications
Companies these days rely strongly upon their previous data history for predicting future trends in their business operations and strategies. Whether forecasting inventory or estimating sales, data mining has emerged as a new vibrant tool for extracting potential knowledge hidden inside the purchase behavior of the customer. Mining has made it possible to span over a large dataset in no time and come up with useful prediction. Building on the notion that customer's purchase pattern plays a vital role in planning future strategies in this paper, the authors focus upon several mining techniques used for understanding the customer's purchase behavior.