节点文献
数据挖掘技术在高校学生管理中的应用
Data Mining on the Application of College Students’ Management
【摘要】 数据挖掘技术是一种新的信息处理技术。其目的是从海量数据中抽取潜在的,有价值的数据规律或数据模型。通过数据挖掘技术对高校教学数据的分析处理,能够形成真正有价值的知识,向决策者提供信息支持,有利于推动学校教学改革和建设的全面发展。本文提出了现代高校学生管理工作的新模式,并就一个管理决策的应用模式进行了实例分析。
【Abstract】 Data Mining is a knowledge discovery technology that extracting valuable rules or models from huge raw data. With the help of data mining technology on the decision support system for the educational administration,the administrator can get much valuable knowledge about the data of the university education. Educational information through data mining technology for the analysis and can form a truly valuable knowledge and provide information to policy makers,and is conducive to promoting the all-round development of school education reform. In this paper new applied patterns of the modern college student s’management are presented and analyzed with an example.
【Key words】 data mining; pattern of students’ management; Association Rule; University’s teaching method;
- 【文献出处】 电脑知识与技术(学术交流) ,Computer Knowledge and Technology(Academic Exchange) , 编辑部邮箱 ,2007年18期
- 【分类号】TP311.13
- 【被引频次】2
- 【下载频次】205