Application of Association Rules Mining in the System of University Teaching Appraisal

被引：0

作者：

Zhang Jung-miao ^{[1
]}

Gao Wei-xiao ^{[2
]}

机构：

[1] Hebei Univ Econ & Business, Ctr Comp, Shijiazhuang, Peoples R China

[2] Hebei Univ Econ & Business, Informat Technol Coll, Shijiazhuang, Peoples R China

来源：

2008 INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND TRAINING AND 2008 INTERNATIONAL WORKSHOP ON GEOSCIENCE AND REMOTE SENSING, VOL 2, PROCEEDINGS, | 2009年

关键词：

Data Mining; Association Rules; Teaching Appraisal; Support; Confidence;

D O I：

10.1109/ETTandGRS.2008.148

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A large amount of data has accumulated in teaching appraisal that must be done every semester among most universities. In order to find out the law or model hidden in these data, the Data Mining technology should be used fully. This thesis introduces the application of Association Rules Mining in the teaching appraisal, which can effectively guide the teaching work by finding out the intrinsic association rules between the effectiveness of classroom teaching and teachers' age and title.

引用

页码：26 / +

页数：2