| 关联规则挖掘在高校教学评价中的应用 |
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| 引用本文： | 任高举,白亚男. 关联规则挖掘在高校教学评价中的应用[J]. 计算机与数字工程, 2014, 0(8): 1526-1529 |
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| 作者姓名： | 任高举 白亚男 |
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| 作者单位： | 平顶山学院网络计算中心,平顶山467000 |
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| 摘 要： | 将数据挖掘中关联规则应用到高校教学评价中,寻找教学评价数据背后隐含的有价值的信息.利用改进的Apriori算法挖掘评教数据,从大量的评教数据中发现数据间的关联.通过实例分析,结果发现了评价等级与教师的学历、职称、教龄、科研能力之间的关联.分析并利用这些关联规则,既可以提高授课教师的教学水平,又可以为教学管理部门的提供决策参考,从而提高教育教学质量.
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| 关 键 词： | 数据挖掘 关联规则 Apriori算法 教学评价 |
Application of Association Rules Mining in Teaching Appraisal |
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| REN Gaoju,BAI Yanan. Application of Association Rules Mining in Teaching Appraisal[J]. Computer and Digital Engineering, 2014, 0(8): 1526-1529 |
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| Authors: | REN Gaoju BAI Yanan |
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| Affiliation: | ( Network Computing Center, Pingdingshan University Pingdingshan 467000) |
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| Abstract: | Association Rules of Data Mining is applied in teaching appraisal to find valuable information hidden behind the teaching appraisal data.By using improved Apriori algorithm,it can mine the association among a large number of teaching appraisal data.With studying the case,it finds out the Association Rules between evaluation grade and teacher＇s diploma,job title,seniority,research capacity.Analyzing and using these association rules,it can not only improve teachers＇ teaching,but also provide better decision support for teaching management department,so as to improve education quality. |
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| Keywords: | data mining association rules Apriori algorithm teaching appraisal |
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