| 数据挖掘在教学中的应用 |
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| 引用本文： | 王珏,张芳,罗海燕. 数据挖掘在教学中的应用[J]. 农业网络信息, 2009, 0(6): 100-102 |
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| 作者姓名： | 王珏 张芳 罗海燕 |
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| 作者单位： | 沈阳农业大学,信息与电气工程学院,辽宁,沈阳,110161 |
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| 摘 要： | 本文将数据挖掘应用到学生成绩分析中,通过用户给定的最小支持度,利用Apriori算法得出频繁项集,结合最小置信度,确定各门课程之间的联系,以达到有针对性地帮助学生顺利完成学业的目的.
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| 关 键 词： | 数据挖掘 最小支持度 Apriori算法 最小置信度 |
Application of Data Mining in Teaching |
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| Wang Jue,Zhang Fang,Luo Haiyan. Application of Data Mining in Teaching[J]. Agriculture Network Information, 2009, 0(6): 100-102 |
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| Authors: | Wang Jue Zhang Fang Luo Haiyan |
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| Affiliation: | College of Information and Electric Engineering;ShenYang Agricultural University;Shenyang 110161;China |
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| Abstract: | Data mining was used in analyzing the grade of students.The frequent item set was calculated by Apriori algorithm,based on minimum support given by users The relationships among subjects were determined by frequent item set combined with minimum confidence.It can help students accomplish study successfully. |
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| Keywords: | data mining minimum support Apriori algorithm minimum confidence |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
