Research And Implementation Of The Web Education Based On Web Log Mining

With the development of the network, distance teaching based on web has become an important way and a guidance of modern distance education.Web users will leave a related information in the website logs. If the user's information can be fully excavated, it'll provide data for us to build up an integrative educational network platform with intelligence and individuation.Aim at the characteristics,such as the single network education mode, the little interactive educational methods,not to teach according to student's ability etc.,the distance teaching system imbed the weblog mining can understand the interview behavior of users, and provide a characteristic service. The weblog excavation is the key technique to carry out characteristic service.This text clarified the methods of applying weblog mining in the distance teaching system,concretely introduced the application of weblog in the network education,the applying background,the strategy of Weblog mining in the network teaching,the key technique and the algorithm applied in this thesis.To carry on cluster analysis to the HTML, this system adopted domestic lately CLOPE algorithm(Clustering column diagram algorithm), carried on improved Apriori algorithm to scoop out user hobby path, the interest of user's interview, the parts of arithmetical statements. Finally,in respect of the contents design of education website, weblog mining of the data collections,the data pretreatment,application of web mining and visualization processing etc. This thesis introduced the realization of the distance teaching system based on Weblog mining. Follow the architecture diagram of the personalized network education system based on weblog mining, this thesis propose the request of distance teaching with pressing need to be studied request and teach according to his ability.This system can make full use of weblog, student's behavior and study result record well etc to discover alike learner community, the related web pages, user's multifarious visiting path, multifarious item congregation and connected rule by weblog mining. This can adjust study plan and progress of learner automatically, present a characteristic study contents, establish from orientation teaching website, satisfy each kind of learner demand, raise construction and the network educational quality.