| Lifelong education in our country is getting more and more attention.The 16 th National Congress of the CPC put forward the construction of lifelong education system and learning type society,promoting people’s all-round construction of the important goals as a well-off society.The 17 th National Congress of the CPC put "lifelong education system basically formed" as one of the new requirements of building a well-off society,Further clearly pointed out that "the development of distance education and continuing education,construction of national learning society and lifelong learning society ".The 18 th National Congress of the CPC put forward the "perfection of lifelong education system,the construction of learning type society".Digital learning and construction of learning city is a major task for building a well-off society.The application of data mining technology to the research of digital learning platform,which is conducive to improve the learner support and service quality.At the same time to provide reference and basis for the construction of learning resources and learning platform.It is also conducive to further enhance the quality of learning resources and learning platform.During this research,we make use of one learning platform,“Pinghu Citizen Study Online”,Using Apriori algorithm of association rules,to mine the basic information for the users in the database,Further analysis of the association among education,gender,the last visit,user login times and region,Provide a useful decision support for quality of service in the future.Through the classification algorithm of C5.0,we realize the analysis of user satisfaction,also found the relationship between satisfaction of users and their login times,as well as the relationship between acquisition learning coin and credits.In the course of the study,we pay attention to the combination of theory and practice,introduce the application of Clementine tool in data mining,which provides reference for the practice and application of data mining. |
