DocumentCode :
1806287
Title :
Teaching analysis based on association rule mining
Author :
Chen Weiyu ; JiaNan
Author_Institution :
Beijing Wuzi University, China
fYear :
2013
fDate :
1-8 Jan. 2013
Firstpage :
1
Lastpage :
3
Abstract :
Association rule in data mining could found interesting link between a large amounts of data set. Using the improved Apriori algorithm on analyzing the grades of students´ course, which revealed the relationship and influence on learning effect during each chapter, distinguish the key factors that affect their achievement. After that we can conclude valuable information to provide guidance for improving teaching and learning effectiveness.
Keywords :
Bismuth; Education; Algorithm; Association Rule; Improved Apriori; Teaching Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Conference Anthology, IEEE
Conference_Location :
China
Type :
conf
DOI :
10.1109/ANTHOLOGY.2013.6784997
Filename :
6784997
Link To Document :
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