An Architecture for Web Usage Mining
نویسندگان
چکیده
When planning a Web site, designers should have not only a clear understanding of user’s profiles and site objectives, but also an asserted knowledge of the way users will browse site pages. Analysis of a site visitors’ behavior is a powerful tool that can be used to gather invaluable hints about how well the site is reaching its goals. Such analysis involves transformation and interpretation of Web server log records, in order to find hidden, implicit and previously unknown usage patterns, through the use of data mining and knowledge discovery tools and techniques. This work proposes an architecture for Web usage mining, such that it can be used as a basis for development, testing and implementation of new Web usage mining methods and algorithms. Furthermore, it shows how this architecture can be useful for a Web designer that intends to build sites and pages that adapt themselves automatically according to user’s needs.
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