数据挖掘技术在高校招生中的应用

The Application of Data Mining Technology in College Enrollment

各高校招生面临宣传力度不足导致考生与家长对该校的了解不够以致生源流失,以及考生的个性化选择与高校传统专业设置之间不匹配导致很多专业无人问津等问题。笔者针对上述问题进行相关的数据收集与分析,通过对于生源地与考生高考成绩的数据处理,使用决策树中的ID3算法,对其数据进行分析挖掘,并分别提出相应的宣传方式,改进高校的招生宣传。同时通过对新生入学调查问卷的分析,提出加强中学对点宣传和提高对微信公众号等自媒体的重视,增加考生对于学校的认识和对专业的了解。

The propaganda in colleges is not enough,which results in the lack of comprehending the school from the candidates and their parents,so that the loss of students,as well as the mismatch between the personal choices of students and the traditional profession settings in colleges,resulting in nobody cares many professions and other issues.In this paper,the data collections and analysis are carried out according to the above issues.By using the ID3 algorithm in the decision tree,the data are analyzed and excavated by the data processing of places of students'origin and the students'entrance examination,and the corresponding propaganda methods are put forward to improve the propaganda in colleges.At the same time,through the analysis of the freshmen enrollment questionnaire,it is proposed to strengthen the peer-to-peer propaganda on high schools and pay more attention to WeChat official accounts from the self-media,so as to increase the students'knowledge of the school and professional und erstanding.