| The emergence and spread of computer has made information become important factor of social development,more rapid development of the Internet makes amount of information, information dissemination and processing speed greatly accelerated. All kinds of data and information on the web are growing series of ways, so there "data rich, knowledge poor" strange phenomenon. To solve this problem, Web data mining began to develop, and widely used in the commercial and biomedical fields. But in the field of education, information processing technology is relatively backward. At present, the traditional teaching model are becoming web-based teaching model, web course becomes an important platform of online teaching. Web course will produce a rich array of data, but the lack of structured information. The traditional methods of educational information processing can't solve the problem now, it was necessary to apply new techniques to identify the implicit relationship between education data.The main work of this paper is to bring web data mining technology into educational information processing, and to tackle the data problems in the course. Through analysis of these hidden data in a reasonable deal, we would learn useful, unknown information and knowledge to further improve the performance of the network programs, to promote the optimal use of teaching resources, make better decisions for teachers, and students well to experiential learning. The study includes three aspects contain theory, technology and application. Theory mainly on Web mining and education information processing, and create Web-based information processing model for education; technology primarily related to Web mining algorithms and tools; application mainly on Web-based Mining education information processing dealing with specific web course. Study the visits information through log analysis; find hidden relationship between the students through content analysis of web courses.
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