摘要
招生是高校人才培养工作的首要环节,生源质量的好坏直接关系到高校的人才培养质量。随着我国高等教育招生制度的改革、发展和完善,自主招生越来越受到高校的重视,优质生源的竞争日趋激烈。本文将小波阈值方法引入到数据的聚类分析中,建立了一种新的数据挖掘模型并应用到在校学生学习成绩信息的分析研究中,对建立科学的本科招生生源质量评价体系进行了初探,分析结果对高校招生管理工作起到了科学指导和辅助决策作用。
With the reform, the development and the improvement of student enrollment system of Chinese higher education, universities are paid more attention on autonomous enrollment. This paper introduces wavelet thrcsholding into data of cluster analysis and establishes a new data mining model. The model is applied to academic achievement information of students at school. In addition, the preliminarily explored establishment of a scientific quality assessment system is studied for student source enroll-scientific instructions and assistant decision making for the management of student enrollment of universities.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2009年第6期823-827,共5页
Journal of Nanjing University of Aeronautics & Astronautics
关键词
数据挖掘
小波阈值
聚类
招生
质量分析
data mining
wavelet thresholding
clustering
student source enrollment
quality analysis
