Analysis And Application Of Big Data Of College Students' Behavior

With the progress of society,more and more new technologies are pouring out.and big data technology is another great technological revolution after cloud computing and Internet of things.All walks of life in the information age are generating big data,all of which are valuable assets.The continuous construction of smart campus projects in colleges and universities as well as the continuous improvement of upper-level applications,the accumulated data in the campus information environment are rapidly expanding,and most of the universities and colleges have formed a typical big data environment for campus education.However,many colleges and universities do not make proper use of big data on campus education,making this valuable resource all the year round asleep and easily becoming an isolated island of information.Big data technology through its data analysis mining and forecasting is changing people's life and learning style.In this context,it is a very meaningful research topic to make rational use of large data on campus and to excavate the value of big educational data produced on campus.Therefore,the analysis and Application Research of university student behavior big data proposed in this paper is to find out the relationship between data and data by mining student behavior data,and to provide a powerful help for the comprehensive development of universities and students.In the study,the author firstly by extracting relevant data feature data preprocessing technology;then using K-means clustering algorithm for clustering analysis based on student achievement,consumer behavior,library data,and using decision tree algorithm to evaluate clustering results;finally using Apriori algorithm of association rules for conduct correlation analysis of learning behavior of students at the same time,the results of the analysis graphical display.The distributed storage and processing of campus heterogeneous data has been completed,and the in-depth mining and analysis of campus data have been realized.Analysis of student data,help timely grasp the behavior of students,predict the behavior development of students,guide the designation of teaching plan reasonably,teach students in accordance with their aptitude,and better guide the development direction of students.In the first chapter,"Introduction",the thesis mainly introduces the research topics about the application of big data in education,including the research background and the meaning of research,the research purpose,research ideas and research methods.The second chapter mainly discusses the application of big data in the field of education,including the research results at home and abroad,the definition of big data,and the key technologies.The third and the fourth chapters are the main part of the dissertation,mainly focusing on the practical application of big data in the field of education.The author studies some students using some big data technology for some students in a certain school.The fifth chapter is the summary of the dissertation,which mainly includes the description of the research area and the prospect.