$1.(3$ marks$)$ Association Rule Mining in Web Data:

Consider a web application that tracks user interactions $($clicks$,$ searches, page visits$)$ in an e$-$commerce website. Discuss how association rule mining could be used to discover patterns in the browsing behavior of users. Provide an example of a rule that could be generated from such data $($e$.$g$.,"$If a user clicks on product A $,$ they are likely to click on product $\backslash (\backslash$mathrm$\{$B$\}^\{\backslash$prime $\backslash$prime$\}\backslash )).$ Include the terms support, confidence, and lift in your explanation.