Evaluation of teaching quality in colleges and universities based on association rule algorithm

被引:0
|
作者
Zhang, Tao [1 ]
Chen, Xi [1 ]
Cai, Kenan [1 ]
机构
[1] Hebei Agr Univ, Baoding, Hebei, Peoples R China
来源
AGRO FOOD INDUSTRY HI-TECH | 2017年 / 28卷 / 01期
关键词
Association rules; teaching quality; apriori algorithm;
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Due to the existence of certain laws and connections in a large number of disorderly and complex data, the data mining is to find out valuable information behavior from the huge amount of data. An important part of the teaching management is the evaluation of the teaching level of the teachers. How to evaluate the degree of the teachers' teaching level is to find the regularity and relation among them in the large amount of teaching data. Based on the research of data mining algorithm, Apriori algorithm was studied and improved. The improved algorithm was Apriori_B algorithm. Apriori_B algorithm was used to mine the data of teaching system, so as to evaluate the teaching level of colleges and universities.
引用
收藏
页码:2611 / 2614
页数:4
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