Design And Implementation Of Data Mining And Visualization System For College Enrollment Based On Decision Tree Algorithms

In recent years,with the development of higher education in China turning to universal education,the enrollment scale of colleges and universities is expanding year by year.while the number of candidates participating in the college entrance examination continues to decline,and the pressure of competition among colleges and universities is constantly increasing.How to improve the candidates' application rate and the quality of college students has become possible for major colleges and universities.Key factors for sustainable development.Although a large number of student data are accumulated in the annual enrollment database,most colleges and universities only complete simple statistical analysis and storage functions,and do not use the information platform to help enrollment.It is a new problem for colleges and universities to improve the freshmen enrollment rate by improving the information technology level.In view of this situation,this paper designs a visual enrollment information system based on data mining.This system is a university enrollment information management information system based on decision tree algorithm and visualization technology.It uses C#,SQL,R as the development language,ASP.NET as the technical basis of development,and establishes the data warehouse and OLAP function part of enrollment information through SQL Server Reporting Services(SSRS).R language realizes the data mining and analysis function of enrollment information based on decision tree and association algorithm.Finally,it realizes the data mining and visualization function of enrollment by using R+Shiny,Echarts and other technologies.The system is mainly composed of data warehouse and OLAP,front-end information management module,data analysis and visualization functions.A complete data mining and decision-making platform of university enrollment information is realized by using B/S architecture mode,dynamic web page technology,machine learning algorithm and visualization.The system includes basic information function,query function,statistical report function,decision analysis function,information visualization function and system management function.Through the design of the system,the functions of enrollment information collection,screening and statistics,processing and transmission,data mining and decision-making,visualization and other functions of university enrollment information management are preliminarily realized,and effective information assistance is provided for university enrollment planning and decision-making,specialty setting in the era of big data.