The Application Of Data Mining In Web-Based Learning Platform

Data mining technology is a procedure of distilling available information and knowledge from mass , incompleted and random data . Data mining has been studied and applied recently, and it has been applied in many domains successfully, such as business, finance and medical treatment. With the development of information technology, information technology has been widely applied in education and many education platforms appeared to promote the development of lifelong learning and civil learning .But with the fast development of those platforms, they have accumulated great quantity of data, and the data often are ignored. On the one hand, we are at a loss to handle those complex education platforms, and on the other hand, many useful data are ignored and wasted . this paper is to solve this problem . This paper does a research on how to apply data mining to education platforms, and point out data mining can solve many problems in our web -based learning . It is promising for data mining to be used in web-based learning platforms.The main work of this paper is followed:1. The research and discussing of the basic knowledge of data mining.2. The research of applying cluster-based Collaborative Filtering recommendation technology to course recommendation module. The importance of course recommendation in web-base learning is then point out, and then the process of applying cluster-based Collaborative Filtering recommendation technology to course recommendation module is analyzed in detail.3. The research of applying data mining to score analysis module. The relationship between the student' s basic information and his/her score is analyzed. It becomes possible to predict students' score with the decision tree classification rule mining.4. The research of applying data mining to help teacher make decision and get familiar with the students' activities .