Web Mining Techniques for User Behavior Analysis on Online Shopping Websites- A Survey

Web mining is the application of data mining techniques to determine knowledge from WWW. Web mining is useful in E-Commerce to know the browsing behavior of customers. Today web is the superlative medium of communication in modern business. Many companies are redefining their business strategies to get better business output. Business in excess of internet provides the opportunity to customers and partners where their products and specific business can be found. Nowadays online business breaks the hurdle of time and space as compared to the physical office. Big companies around the world understand that e-commerce is not just buying and selling over Internet, rather it improves the efficiency to compete with other giants in the market. For this reason data mining sometimes called as knowledge discovery is used. E-commerce websites provide customers with a extensive variety of navigational options and actions: users can freely move through different product categories, follow multiple navigational paths to visit a specific product, or use different mechanisms to buy products, for example. The problem in E-Commerce is we don’t have any clue about our visitors till they place an order, after that you will be able to gain access to significant personal information from the sale. In this paper we are proving a survey paper on web mining techniques for user behavior analysis on online shopping websites.