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。
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%.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第16期132-134,共3页
Computer Engineering and Applications
基金
北京市科学技术委员会重点课题(The Key Project of Beijing Municipal Science and Technology Commission under Grant No.Y0105003040191)
北京工业大学博士科研启动基金(the Doctoral Scientific Research Foundation of Beijing University of Technologyunder Grant No.52007016200703)
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
data warehouse
data mining
snowflake model
association rule
education and examination database
