基于SQL Server数据库的高校教学质量数据挖掘分析  

Analysis of The Teaching Quality of Data Mining Based on SQL Server Database

作　　者：于鹏飞[1] YU Peng-fei(Lanzhou Resource Environment Vocational and Technical Colleg)

机构地区：[1]兰州资源环境职业技术学院,甘肃兰州730021

出　　处：《湖北函授大学学报》2018年第2期26-27,共2页

摘　　要：教育信息化是高等院校教育发展的主要趋势,也是提升高校教学质量的重要途径和渠道。本文以促进高等院校教学发展为目标,将数据挖掘技术和SQL Server数据库引入教学质量评价中去,利用数据挖掘系统支持高等院校教学质量管理工作。首先,本文介绍了SQL Server数据库及其特点,以及数据挖掘技术和常用的几种数据挖掘算法,提出利用决策树方法进行教学质量数据挖掘,并对这一方法的实现进行了简要分析,仅供参考借鉴。Education informatization is the main trend of education development in colleges and universities,as well as an important way and channel for improving the teaching quality of universities. In this paper,to promote the development of colleges and universities teaching as the goal,the SQL Server database and data mining technology in teaching quality evaluation,using the data mining system support in colleges and universities teaching quality management work. First of all,this paper introduces the SQL Server database and its characteristic,and the commonly used several kinds of data mining algorithm and the technique of data mining,data mining using decision tree method is proposed for the teaching quality,and based on the simple analysis of the implementation of this method,only for your reference.

关 键 词：数据挖掘 教学质量 SQL SERVER数据库 实现过程 

分 类 号：G640[文化科学—高等教育学]