| 数据挖掘技术在高校贫困生管理中应用研究 |
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| 引用本文： | 李明江,卢玉,唐颖,刘彦.数据挖掘技术在高校贫困生管理中应用研究[J].黔南民族师范学院学报,2014(4):117-121. |
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| 作者姓名： | 李明江 卢玉 唐颖 刘彦 |
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| 作者单位： | 黔南民族师范学院计算机科学系,贵州都匀558000 |
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| 基金项目： | 贵州省教育厅自然科学研究青年项目“数据挖掘在贵州省高校贫困生评定管理中的应用研究”（黔教科20100095）. |
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| 摘 要： | 阐述了数据挖掘技术的实施过程和分析方法，并采用决策树分类方法对高校贫困学生的信息进行分类分析，得到四个具有最高信息增益率报表，从而为贫困生的评选及管理方案的制定提供依据，进而提出了数据挖掘技术在贵州省高校贫困生评定管理中应用设想。
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| 关 键 词： | 贫困生管理 数据挖掘 决策树 |
An Applied Research on Data Mining in Management of College Students with Financial Difficulties |
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| LI Ming-jiang,LU Yu,TANG Ying,LIU Yan.An Applied Research on Data Mining in Management of College Students with Financial Difficulties[J].Journal of Qiannan Normal College of Nationalities,2014(4):117-121. |
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| Authors: | LI Ming-jiang LU Yu TANG Ying LIU Yan |
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| Institution: | ( Department of Computer Science, Qianrmn Normal College for Nationalities, Duyun 558000, Guizhou, China) |
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| Abstract: | Through stating the implementation process and analytical method of data mining and classi- fying and analyzing the information of college students with financial difficulties by means of decision tree method, four reports with highest information gain - ratio can be obtained, which provides the foundation of formulating plans for electing and managing the students with financial difficulties. And it puts forward the assumption that the evaluative management of higher education in Guizhou will apply data mining to college students with financial difficulties. |
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| Keywords: | management of students with financial difficulties data mining decision treemethod consideration |
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