摘要
在大数据时代,高校招生工作要占领制高点,需要采用数据分析方法把握学校招生状态。通过预测性大数据分析方法对招生数据进行分析,根据分析结果对发现的问题及时整改并预测未来的发展状况,才能真正做到基于数据进行决策。对常用的预测性数据分析方法进行介绍,结合高校招生工作的应用进行分析,使用SAS EG建立新生报到预测模型,对2016年录取新生报到情况进行预测,通过预测结果与实际报到情况对比验证了模型的有效性。
While occupying the heights of the college enrollment in the era of big data,data analysis needs to be used to grasp the status of college enrollment.The method of the predictive data analysis can do some timely rectification for the problems found.The analysis results can forecast the future development,can help to make decisions based on data.Common predictive data analysis methods are introduced,and used to analyze the college enrollment.It establishes a predictive model for the freshmen's enrollment by using the SAS EG,and predicts the 2016 freshmen's enrollment.The validity of the model is verified by the comparison between the predictive data and the actual enrollment data.
出处
《微型电脑应用》
2017年第11期20-23,共4页
Microcomputer Applications
基金
2015年度广西高校科学技术研究项目(KY2015LX539)