At any given Website, the flow of users’ visitations represents a valuable source of information for Web professionals. However, the identification and interpretation of Web usage patterns is not necessarily an easy task. The sheer volume and complexity of the browsing patterns captured in the Website server logs makes understanding users a difficult, time-consuming task. The present chapter explores the use of an adaptive neural network to visualize the Website usage patterns. This visual representation supports the identification of clusters of Web pages that are frequently visited together by users. A Website designer can see, at a glance, the primary groups of Web pages that visitors browse. Further, the site structure can be readily compared to the usage clusters to measure how well the links at the Website support the actual use of the site.