Based On The Distance Education Web Site Information Collection And Data Mining Technology Research

With the development of Information Technology, information created by web is increasing dramatically. However, the technique about web information using can not keep up with the increase of web information. So it becomes a subject worth researching that how to use the web to its full potential capabilities by mining and taking advantage of web information rationally.At present, distance learning is springing up vigorously, and websites of various schools and educational establishments have been setting up rapidly so that it becomes more and more popular that students obtain knowledge and study techniques on Webs. At the same time, huge amount of data information has been accumulated. In order to learn users' special requirements better and provide more reference in designing educational websites to users at the same time, it is profoundly significant to process data information and visiting information of distance educational websites using data mining technology.As the primary carrier of the Internet, web, itself, holds vast amount of knowledge. And the communication between people and web also creates vast amount of knowledge. In order to acquire these information and knowledge, data mining technology is applied widely in web. A great number of users visit education websites, which produces many record files and register tables. How to analyze and mine those data so as to fully learn users' requirements and ways of behavior is very important to design properly organized websites, whose practicability and service are powerful, and which also has its individuality.This thesis generalized the connotation of information collection and web logs mining and further revealed their necessity and significance based on analysis of the concepts such as information collection, data mining and Web mining of distance education websites. After researching theories decided by the topic and related to it, Researches in data processing and pattern discovery in data collection and web logs mining of distance education websites was carried out in this thesis. Data collection and data processing of distance education websites discussed the collection and process procedures and gave a method to realize visual data collection. The pretreatment of distance education websites' log mining discussed the pretreatment process and algorithm about data sources and the web logs; what is more, an instance was carried out to illustrate it. Pattern discovery discussed a typical algorithm—Apriori algorithm and its realization based on association rules. In addition, the problem ought to be considered during applying the Apriori algorithm in web logs mining of distance education websites was proposed. Combined with the analysis of three aspects, a simple model oriented to data collection and web-logs-mining in distance education website was established, and it was a model about the application of web-logs-mining techniques in distance education websites. In addition, a simple instance was given to illustrate the application of the algorithmsin education websites.