Proposing Enhancement Of Websites According To User Behavior Prediction basing Web Usage Mining

Abstract

Web usage mining is the application of data mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Web usage mining consists of three phases, namely preprocessing, pattern discovery, and pattern analysis. Web Usage Mining Web servers, proxies, and client applications can quite easily capture data about Web usage. Web server logs contain information about every visit to the pages hosted on a server. Some of the useful information includes what files have been requested from the server, when they were requested, the Internet Protocol (IP) address of the request, the error code, the number of bytes sent to the user, and the type of browser used. The problem of this research is need to analyse the web site of (sudan university of science and technology) in order to enhance the site. In this research firstly collect data then prepare (preprocess) data to analysis (applying clustering) and evaluating the result (up to down methodology) . According to result give recommendation. By using flexable design and Offer more information in each page this will make the site more effective.