摘要
云技术、数据挖掘、互联网+等概念已经渗透到各个行业领域。高校每年招生产生的大量数据也逐渐被学校重视起来重新考量。本研究使用数据挖掘技术决策树ID3算法和其改进算法C4.5,探究这些数据运用在招生宣传决策中的可行性和有效性,并寻找录取新生的信息之间的关联规则。提出了把数据挖掘技术应用于高校招生工作和高校管理工作的新思想,并建立了高校招生的数据挖掘模型。
The concepts of cloud technology, data mining and Internet+ have been penetrated into various industries. A large number of data generated from enrollment each year are gradually being taken and reconsidered by colleges. The study uses data mining techniques decision tree ID3 algorithm and its improved C4.5 algorithm to explore the feasibility and effectiveness of these data in the application of enrollment propaganda decisions and to seek for the rules of association between information among enrolled students, presenting the i- deas of applying data mining technology to college enrollment and management and establishing data mining models of college enroll- ment.
出处
《长春大学学报》
2016年第4期22-27,共6页
Journal of Changchun University
基金
2015年广东省教育统计科学研究计划项目(14TJ0015)