An Improved Fuzzy Clustering Technique for User's Browsing Behaviors
Analyzing and predicting navigational behavior of Web users can lead to more user friendly and efficient websites which is an important issue in Electronic Commerce. Web personalization is a common way for adapting the content of a website to the needs of each specific user. Several clustering approaches are implemented to cluster User's who are visiting similar pages on Web. Fuzzy clustering technique is widely applicable to cluster homogenous users according to their access characteristic of web pages. Fuzzy clustering found optimum way to cluster documents scattered on World Wide Web. In present scenario clustering users and documents separately increasing the time complexity as well as reduce the performance of the process.