Mining the customer behavior using web usage mining in e-commerce

With the explosive growth of information sources available on the WWW, it has become an important tool for users in order to find, extract, filter and evaluate the desired information and resources. The main purpose of this paper is to study the customer's behavior using the Web mining techniques and its application in e-commerce to mine customer behavior. The concept of Web mining describing the process of Web data mining in detail: source data collection, data pre-processing, pattern discovery, pattern analysis and cluster analysis. With the advanced information technologies, server are now able to collect and store mountains of data, describing their numerous contributions and different customer profiles, from which they seek to derive information about their customer's requirements. Conventional methods are no longer appropriate for these business situations to find the customer behavior. The principle of data mining is to cluster customer segments by using K-Means algorithm in which input data comes from web log of various e-commerce websites. Hence, determine the relationship between Web data mining and e-commerce and also to apply Web mining technology in e-commerce.