基于CHAID算法的高职院校招生数据挖掘的应用研究

Application Researchofdata miningofenrollment in Higher Vocational Colleges Based on CHAID algorithm

新课改形势下,政府对高职院校发展大力扶持,高职招生逐渐扩大,这给高职院校既带来新的契机,也带来了新的挑战。在这种形势下,高职院校需要把招生重点从生源数量转向生源质量。文章将对某高职院校近三年招生数据,利用数据挖掘工具的CHAID卡方自动交互检测算法构建预测决策树建模,进行分析和挖掘,找出潜在有用的信息,帮助学校更好的制定招生政策,提高生源的报到率和生源质量。

Under the new curriculum reform situation,the government's strong support for the development and the gradual expansion of higher vocational enrollment bring new opportunities and challenges to higher vocational colleges.In this situation,higher vocational colleges need to shift their focus of enrollment from the number of students to the quality of students.In this paper,based on the enrollment data of a vocational college in recent three years,using the CHAID chi-square automatic interactive detection algorithm of data mining tools to build a prediction decision tree model,we analyze and mine to find out the potential useful information to help the school to formulate better enrollment policies and improve the enrollment rate and quality of students.