Analyzing End-users Requirements of Al Mustaqbal University College Website: An Emperical Case Study

Websites play a significant role in the success of many organizations. The navigational data of website visitors are utilized to maintain successful relationship with customers. Web Usage Mining (WUM) is the branch of Data Mining (DM) which focus on the study of end-users navigation behaviors through the analysis of log files. In this paper, Al Mustaqbal University College (MUC) website has been studied. Association Rule mining algorithm is used to analyze the website log file. As a result, frequent webpages are identified. The obtained rules show some strong association between disconnected pages. Hence, website developer could incorporate these results to develop an interactive websites and provide more enjoyable navigation experience.