Customer Behavior Analysis Towards Online Shopping using Data Mining

Abstract

Customer behaviour in online shopping usually deals with identification of customers and their buying behaviours patterns. The aim of such studies is to make certain who buys where, what, when and how. The results of these studies are useful in the solution of marketing  problems. Various studies on customer purchasing  behaviours  have been presented and used in real problems.  For analysis of customer  behaviours data mining techniques are consider more effective. The target of this paper is to analyse behaviours of such people who are visiting the online shopping sites and spending their time there, surfing for different stuff. It would also be taken into account that how many people are there and how many of them are actually shopping. In this paper, different queries are applied to mine the database of a specified site which results in analysis      of customer behaviours towards