Research on data mining of education technical ability training for physical education students based on Apriori algorithm

被引:15
|
作者
Zhu, Shuling [1 ]
机构
[1] North China Univ Water Resources & Elect Power, Zhengzhou, Henan, Peoples R China
来源
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2019年 / 22卷 / Suppl 6期
关键词
Apriori algorithm; Technical ability; Data mining;
D O I
10.1007/s10586-018-2420-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
At present, with the development of computer technology, more and more data mining technology is introduced into the education of Physical Education Students. Based on the Apriori algorithm, this paper studies the data mining of education technical ability training for students of physical education major. In this paper, we can dig out the rules that we are really interested in by introducing the lift_measure interest measurement. Meanwhile, aiming at the characteristics of mutual exclusion in data mining, it improves the shortcomings of classical Apriori algorithm, and improves the efficiency of mining frequent itemsets by Apriori algorithm. The improved AD-apriori algorithm can reduce the time complexity and space complexity of the mining process.
引用
收藏
页码:14811 / 14818
页数:8
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