计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (16): 132-134.

• 数据库、信号与信息处理 • 上一篇    下一篇

教育考试数据挖掘的研究与实现

侯亚荣1,万雅奇1,2,张书杰1   

  1. 1.北京工业大学 计算机学院,北京 100022
    2.北京教育考试院 信息处,北京 100083
  • 收稿日期:2007-09-07 修回日期:2007-11-21 出版日期:2008-06-01 发布日期:2008-06-01
  • 通讯作者: 侯亚荣

Research and realization of education and examination data mining

HOU Ya-rong1,WAN Ya-qi1,2,ZHANG Shu-jie1   

  1. 1.School of Computer Science,Beijing University of Technology,Beijing 100022,China
    2.Department of Information,Beijing Education Examinations Authority,Beijing 100083,China
  • Received:2007-09-07 Revised:2007-11-21 Online:2008-06-01 Published:2008-06-01
  • Contact: HOU Ya-rong

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

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%.

Key words: data warehouse, data mining, snowflake model, association rule, education and examination database