[1]刘慧婷,刘军,朱永斌.数据挖掘在高中生综合素质评价中的应用[J].计算机技术与发展,2014,24(03):246-249.
　LIU Hui-ting[],LIU Jun[],ZHU Yong-bin[].Application of Data Mining in Comprehensive Quality Evaluation of Senior High School Students[J].,2014,24(03):246-249.
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数据挖掘在高中生综合素质评价中的应用()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年03期
页码:
246-249
栏目:
应用开发研究
出版日期:
2014-03-31

文章信息/Info

Title:
Application of Data Mining in Comprehensive Quality Evaluation of Senior High School Students
文章编号:
1673-629X（2014）03-0246-04
作者:
刘慧婷1; 刘军2; 朱永斌1
1.安徽大学 计算机科学与技术学院；2.阜阳市第十中学
Author(s):
LIU Hui-ting[1]；LIU Jun[2]；ZHU Yong-bin[1]
关键词:
数据挖掘; 综合素质评价; 关联规则
Keywords:
data mining; comprehensive quality evaluation; association rule
分类号:
TP391
文献标志码:
A
摘要:
自普通高中学生综合素质评价工作开展以来，在高等院校选拔人才时起到了辅助作用。文中引入数据挖掘技术，使其与综合素质评价工作有机地结合起来，符合时代潮流的发展趋势，具有一定的研究价值。文中把改进的基于0-1矩阵向量内积法运用到普通高中学生综合素质评价工作中，这种方法与经典Apriori算法相比，由于只需要对事物数据库进行一次扫描，所以效率比经典Apriori算法提高很多。实验结果证明用这种算法来处理学生综合素质评价数据较为合理。
Abstract:
Comprehensive quality evaluation of senior high school students is useful when advanced education institutions choose talents. It introduces data mining technology to combine with the comprehensive quality evaluation,which conforms to the development trend of times and has certain research values. Apply the improved vector inner product method based on 0-1 matrix to comprehensive quality e-valuation of senior high school students. Compared with the classical Apriori algorithm,the improved method is more effective than the former,because it needs to scan the transaction database only once. Experimental results show it is reasonable to apply the improved vec-tor inner product method to deal with the evaluation data of students' comprehensive quality.

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更新日期/Last Update: 1900-01-01