首页 | 本学科首页   官方微博 | 高级检索  
     

教育考试数据挖掘的研究与实现
引用本文:侯亚荣,万雅奇,张书杰. 教育考试数据挖掘的研究与实现[J]. 计算机工程与应用, 2008, 44(16): 132-134. DOI: 10.3778/j.issn.1002-8331.2008.16.040
作者姓名:侯亚荣  万雅奇  张书杰
作者单位:北京工业大学,计算机学院,北京,100022;北京工业大学,计算机学院,北京,100022;北京教育考试院,信息处,北京,100083
基金项目:北京市科学技术委员会重点课题 , 北京工业大学校科研和教改项目
摘    要:进行教育考试数据挖掘与分析研究,有利于充分发掘教育考试数据的潜在价值,更好地为教育管理、教育决策提供科学的依据。分析了教育考试数据资源现状与特点,构建了高考数据集市雪花模型,采用Apriori算法生成频繁数据项集,并以最小置信度75%为条件,挖掘出考生4科高考成绩之间的关联规则。

关 键 词:数据仓库  数据挖掘  雪花模型  关联规则  教育考试数据库
文章编号:1002-8331(2008)16-0132-03
收稿时间:2007-09-07
修稿时间:2007-09-07

Research and realization of education and examination data mining
HOU Ya-rong,WAN Ya-qi,ZHANG Shu-jie. Research and realization of education and examination data mining[J]. Computer Engineering and Applications, 2008, 44(16): 132-134. DOI: 10.3778/j.issn.1002-8331.2008.16.040
Authors:HOU Ya-rong  WAN Ya-qi  ZHANG Shu-jie
Affiliation:1.School of Computer Science,Beijing University of Technology,Beijing 100022,China 2.Department of Information,Beijing Education Examinations Authority,Beijing 100083,China
Abstract:With the help of data mining for education and examination information,education management and decision can be made scientifically.The characteristics of the education and examination data are analyzed,and snowflake model for the data marts of college entrance examination is designed.Algorithm Apriori is used for the association rule mining to find the grade relationships among different subjects of college entrance examination.Results show that the grades of different subjects have compact association,and the minimized support thresholds are all larger than 75%.
Keywords:data warehouse  data mining  snowflake model  association rule  education and examination database
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号