Differential Internet Behavior’s of Students from Gender Groups

World Wide Web (WWW) contains huge amount documents with various types of categories. Internet usage behaviors of users in Internet are one of the main research areas. Many Website classification schemes were present in literature based on different perspectives. For categorizing Websites based on its content, we used a classification scheme [1]. This investigation is the application of Web Usage Mining (WUM) and Education Data Mining (EDM) to differentiate students Internet usage behaviors based on their gender group.

WUM (Web Usage Mining), EDM (Education Data Mining), Internet Usage Behavior, Gender Group