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基于Weka的数据挖掘技术在学生管理中的应用
引用本文:李强,周贤娟,韩树人. 基于Weka的数据挖掘技术在学生管理中的应用[J]. 适用技术之窗, 2011, 0(1): 171-173
作者姓名:李强  周贤娟  韩树人
作者单位:江西理工大学机电工程学院,江西赣州341000
摘    要:本文针对目前学生管理工作日趋复杂,传统的管理方式已无法胜任,提出了利用Weka软件为平台的管理方案。对数据挖掘技术中的决策树分析法进行深入研究,将C4.5算法应用在学生管理工作中,构建了基于学生个人信息的学生心理状态模型,得到了一些相关规律。实践证明该方法提高了学生工作的效率和质量,为学生管理指导系统提供了科学的参考依据。

关 键 词:数据挖掘  Weka  C4.5算法

Application of the Weka Data Technology to Student Management
Li Qiang Zhou Xianjuan Han Shuren. Application of the Weka Data Technology to Student Management[J]. Science & Technology Plaza, 2011, 0(1): 171-173
Authors:Li Qiang Zhou Xianjuan Han Shuren
Affiliation:Li Qiang Zhou Xianjuan Han Shuren (Faculty of Machanical and Engineering,Jiangxi University of Science and Technology, Jiangxi Ganzhou 341000)
Abstract:As the work of student management is becoming more and more complicated, the traditional management method is incompetent anymore. To solve this problem, this paper brings up a new management method based on Weka software: to deeply study the decision tree analysis method in the data development technology; apply the C4.5 algorithm to the work of student management, so as to construct a student's metal state model based on their personal information and obtain some related rules. Practices have shown that this method can help to improve students' working efficiency and quality. It also provides scientific reference for student management guidance system.
Keywords:Data mining  WEKA  C4.5 Algorithm
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