摘要
本文以高校学生信息数据为研究对象,主要以贫困学生信息数据为应用点,采用数据挖掘技术挖掘学生信息中的有用知识。本文围绕挖掘贫困学生信息这个主题,运用Apriori关联规则算法对得到的综合数据信息进行挖掘,并对Apriori算法的应用进行了改进,得出了有利于学生管理部门支持决策的知识。
This thesis takes the university student information data as the research object, mainly takes the impoverished student information data as the point of application, uses the data mining technology to excavate the useful knowledge in the student information. Revolling mining of impoverished student information , we used the association rule and improving the application of Apriori algorithm in the process of the data mining.The valuable information can be gained which is helpful for the department of management to make a exact decision.
出处
《科技广场》
2007年第5期91-92,共2页
Science Mosaic
关键词
数据挖掘
贫困学生信息
关联规则
Data Mining
Information of Impoverished Student
Association Rule
