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数据挖掘在高校成绩分类管理中的应用研究
引用本文:姚双良. 数据挖掘在高校成绩分类管理中的应用研究[J]. 华东船舶工业学院学报(社会科学版), 2011, 0(2): 87-91
作者姓名:姚双良
作者单位:江苏科技大学教务处,江苏镇江212003
基金项目:江苏省教育科学重点资助课题(B--a/2009/01/011)
摘    要:学生的信息是大量的和复杂的,学校越来越感到管理的复杂性,对于学生的状态和发展越来越难以预测,因此学校希望对学生海量数据的处理不只是简单的备份和查询,而更迫切地需要管理信息系统能够具备辅助决策的能力。应用数据挖掘技术对学生成绩分类管理进行探索,获得有益的隐含知识,支持学生工作和教学管理工作的开展,这对于素质教育的实施,更好地为学生服务提供了很好的尝试。

关 键 词:数据挖掘  决策树  成绩分类

Research on Application of Data Mining to Classification Management of College Student Performance
YAO Shuangliang. Research on Application of Data Mining to Classification Management of College Student Performance[J]. Journal of East China Shipbuilding Institute(Social Science Edition), 2011, 0(2): 87-91
Authors:YAO Shuangliang
Affiliation:YAO Shuangliang (Dean's Office, Jiangsu University of Science and Technology, Zhenjiang Jiangsu 212003,China)
Abstract:Universities and colleges are finding management of students increasingly difficult due to the large a- mount of complex information of students. It is becoming more and more difficult to predict the student's con- ditions and development. Uiversities hope that the processing of the large amount of student data would not be a simple backup and inquiry, but the management information system should have the assistance decision- making ability. This paper makes some research on how to apply data mining to classification management of college students' performance and gets some useful results, which helps the management of students and teaching. This will be beneficial to the quality-oriented education in universities and helps serve the students better.
Keywords:data mining  decision tree  scores classification
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