Data Mining can help to find trends about the way users access the CTI website. Consider the visitor access patterns in the Programs and Courses sections. Limiting our attention to users who accessed the Programs section, we can perform classification analysis on users interested in Ph.D. programs versus Masters programs (including all Masters programs, Computer Science, Distributed Systems, etc). First we would separate those who were clicked a link into only Masters programs, and then separate those who clicked a link into only Ph.D. programs, and then separate out those who clicked links into both. We would also put into each of these groups, a list of links that the users clicked in the Courses section. Affinity grouping analysis using a powerful algorithm will show any patterns or general association rules betw
een users who access the Ph.D. in the Program page and a specific Algorithm class. Data Discrimination analysis can allow us to compare users who click on the Ph.D. link in the Program page with those who clicked on the Master’s links. We might find the group who click only on the Ph.D. link much more frequently and click on a link to the Algorithm class in the Courses section. We could use this knowledge to provide some cross-links within the Ph.D. program page showing users some courses like the Algorithm class that would be of interest.
After September 11, there is dramatic web usage load on course website which is related to security courses. We can apply predication because if we see the web usage history of courses related to security. We can predict on the basis of web usage records that there is noticeab
Example Essays Home
