A Study of navigation patterns based on Clustering

The WWW continues to grow at an amazing rate as an information gateway and as a medium for business. Web mining extracts interesting and useful knowledge and information from artifacts or activity related to the WWW. Web servers record and accumulate data about user interactions whenever requests for resources are received. Analyzing the Web access logs can help understand the user behavior and the web structure. User profiles could be built by combining user’s navigation paths with other data features, such as page viewing time, hyperlink structure, and page content. What makes the discovered knowledge interesting had been addressed by several works. In this paper we study the web usage mining of the users navigation patterns with help of K-means clustering algorithm.