首页 | 本学科首页   官方微博 | 高级检索  
     

序列模式挖掘在教学管理上的应用
引用本文:王智钢,王池社,顾云锋,田海梅.序列模式挖掘在教学管理上的应用[J].计算机与现代化,2012(11):22-25.
作者姓名:王智钢  王池社  顾云锋  田海梅
作者单位:[1]金陵科技学院信息技术学院,江苏南京211169 [2]江苏省信息分析工程实验室,江苏南京211169
基金项目:江苏省现代教育技术研究2011年度课题(2011-R-19470)
摘    要:序列模式挖掘是指从序列数据库中寻找频繁子序列作为模式的知识发现过程。本文将序列模式挖掘应用于教学管理,对学生成绩样本数据按照序列数据库模式进行建模和数据挖掘,得出置信度大于65%的时序关联规则3条。实验结果表明,将序列模式挖掘应用于教学管理,对相关课程成绩进行数据挖掘是可行的,发现的时序关联规则对学校的教学管理和学生学业促进有一定的实际指导意义。

关 键 词:数据挖掘  序列模式  时序关联规则  教学管理  学业促进

Sequential Pattern Mining Used in Teaching Management
WANG Zhi-gang,WANG Chi-she,GU Yun-feng,TIAN Hai-mei.Sequential Pattern Mining Used in Teaching Management[J].Computer and Modernization,2012(11):22-25.
Authors:WANG Zhi-gang  WANG Chi-she  GU Yun-feng  TIAN Hai-mei
Affiliation:1.School of Information Technology,Jinling Institute of Technology,Nanjing 211169,China; 2.Information Analysis Engineering Laboratory of Jiangsu Province,Nanjing 211169,China)
Abstract:Sequential pattern mining is a knowledge discovery procession to look for frequent sub pattern from temporal sequence database.This paper applies sequential pattern mining to teaching management,constructs data model according to the temporal sequence database model on student achievement sample data,does sequential pattern mining,and gets three temporal sequence association rules whose confidence is higher than 65%.The experimental result indicates that applying sequence pattern mining to teaching management,and doing data mining on scores of relevant course is feasible.The found temporal sequential association rules have certain practical significance to improve the teaching management and promote the student's learning.
Keywords:data mining  sequential pattern  temporal sequence association rules  teaching management  study promotion
本文献已被 CNKI 维普 等数据库收录!
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