数据挖掘技术在招生数据平台的应用研究

Application of Data Mining Technology in the EnrollmentDataPlatform

随着高职院校招生规模的不断扩大，招生录取与新生数据的管理仅采用办公软件进行管理与分析的方式已无法获取更深层次的有效信息，为了提高管理效率并在制定招生政策与计划时提供科学的数据信息，该文使用数据挖掘技术对招生数据进行研究，采用关联、聚类、决策树等方法，对大量的报考学生信息进行清洗、分析和统计，以此为招生过程中的科学决策提供有价值的参考。

With the continuous expansion of enrollment in colleges,management and newborn admissions office using only data management and analysis software has been unable to obtain valid information on a deeper level, in order to improve manage- ment efficiency and to develop admissions policies and plans to provide scientific data, we use data mining techniques to study enrollment data, using association, clustering, decision tree method, a large number of applicants for student information for cleaning, analysis and statistics, the admissions processes scientific decision-makingprovide valuable reference. .