Application of Data Mining in Personalized Remote Distance Education Web System

ABSTRACT

This paper used web log mining technology for different users to take a different service policy and provide different and individualized services . Also the paper used basic theory of application of web data mining for remote education process in the distance education. After analysing systematic framework of distance education, the paper proposed web data mining application model in remote education and described all module function. The model used log information and user information to get interesting mode, and applied this mode to remote education system in order to improve personalized service and can be more conducive to learners. It is beneficial to help improve the content and the site topology update which reflects more dynamic and personalized than common distance learning.

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