数据挖掘在大学英语四级成绩预测中的应用研究

Research on the Application of Data Mining in the Prediction of CET-4

根据教育信息化建设的需要,为解决大学英语四级成绩管理只停留在数据的保存、查阅及简单统计阶段的问题,南京财经大学教务处结合工作实际,采用数据挖掘技术分类技术中经典算法之一的决策树算法对数据库中的海量数据进行分析,从众多影响因素中挖掘出影响大学英语四级成绩的主要因素,为学生英语四级成绩的提高和教育教学改革提供参考依据。

In order to solve the problem that the management of CET-4 grades only stays at the stage of data preservation, referenceand simple statistics, the academic Affairs Office of Nanjing University of Finance and Economics combines the actual work withthe needs of the construction of educational informatization. The decision tree algorithm, one of the classical algorithms in data min-ing technology, is used to analyze the massive data in the database. To provide reference for the improvement of CET-4 grades andthe reform of education and teaching.