Application Of Data Mining In The Recruit Students Of Applied-type Private University

With the development of the high education in our country,student sources become limited and the competition of enrollment among colleges and universities is very fierce.The development of private colleges and universities depends more on the number of students.However,the modes and methods of enrollment work affect the check-in rate of students,the efficiency of enrollment work and the use of funds.Private colleges and universities generally attach great importance to the enrollment work.How to determine a better enrollment policy?The development of computer technology has brought new opportunities to the enrollment work of private colleges and universities.A large number of enrollment data will be stored in the enrollment process of private colleges and universities over the years,but most of them lack deep data analysis and information extraction.This paper applies data mining technology to the enrollment data of four applied private colleges and universities in Anhui Province,mid tries to find out the hidden enrollment rules and knowledge,and then uses these rules and knowledge to help these schools to make and manage the enrollment policies,so as to improve the check-in rate of students,reduce the enrollment cost and improve the enrollment decision level.According to the actxial enrollment situation of applied private undergraduate colleges and universities,this paper uses decision tree algorithm C5.0 and Apriori algorithm to mine the enrollment information of colleges and universities,and studies and analyses the subjective and objective reasons that may affect students' enrollment check-in rate.This paper mainly does the following three aspects of research:(1)The related process of data mining,basic knowledge and algorithms related to data mining technology are studied,and then the ID3 algorithm in decision tree algorithm,and its improved C4.5 algorithm and C5.0 algorithm are deeply analyzed.In the association rule algorithm,Apriori algorithm is selected for more detailed research.The differences of these algorithms are compared.The relationship between these algorithms and the problems to be solved in this paper is studied,and the main algorithms,mining tasks and mining tools to be used in this paper are preliminarily determined.(2)According to the actual situation,the enrollment data of four private applied undergraduate colleges and universities in Anhui Province are collected and sorted out by means of various ways.The collected data is preprocessed according to the actual situation,including the cleaning,integration,reduction,transformation and other operations of the original data.The goal is to get the data sample set suitable for mining·(3)Using Clementine mining software,the c5.0 algorithm and Apriori algorithm are used to mine the sample set of enrollment data.This paper first analyzes and summarizes the mining results of c5.0 algorithm and Apriori algorithm,then analyzes and studies the correlation and difference of the results of the two algorithms,Finally it sums up the rules suitable for private applied undergraduate colleges and universities.It provides a certain reference for the future enrollment work of private applied colleges and universities.