Title :
Application of Association Rules in College Teaching
Author :
Wang, Huiping ; Zhong, Ruowu
Author_Institution :
Inst. of Comput., Shaoguan Univ., Shaoguan, China
Abstract :
This paper introduces the concepts of data mining and focuses on the most important and commonly used method of association rules mining. Then association rule mining is applied to the related teaching activities, and some information and rules are got. Using this information can better predict teaching situation and assess teaching effectiveness.
Keywords :
data mining; educational administrative data processing; further education; teaching; assess teaching effectiveness; association rule mining; college teaching; data mining; teaching activities; teaching situation; Association rules; Data models; Educational institutions; Itemsets; association rules; data mining; teaching;
Conference_Titel :
Internet Computing & Information Services (ICICIS), 2011 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-1561-7
DOI :
10.1109/ICICIS.2011.60
