As the amount of information available on the World Wide Web (WWW) increases rapidly, the number of sites that hold particular information also increases. In order to have some
insights o the site usage, system administrator needs tools that can aid in his usage site’s analysis.To achieve this goal, the use of web mining too is necessary to discover the usage pattern of a particular site. For the purpose of this study, server logs from the educational portal were
retrieved, pre-processed and analyzed. Information collected by the Web servers are kept in the server logs and used as the main source of data for analyzing users’ navigation patterns. Once the server logs have been preprocessed and sessions have been obtained, there are several kinds of access pattern mining that can be performed, depending on the needs of the analyst. In this
study, data mining technique known as Generalized Association Rule was used in order to get some insights into website usage pattern. The findings from this study provide an overview of the usage pattern of particular educational portal. The study also demonstrates how Generalized Association Rule can be used in site usage analysis. Such a technique enables the discovery of
hidden information within the web server logs using data mining technique