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Study and Application of Apriori Algorithm in Students' Behavior of Taking Courses

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成果类型:
会议论文
作者:
Lin, Jing*
通讯作者:
Lin, Jing
作者机构:
[Lin, Jing] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Peoples R China.
通讯机构:
[Lin, Jing] W
Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Peoples R China.
语种:
英文
关键词:
data mining;association rule;Apriori algorithm;take courses
期刊:
PROCEEDINGS OF THE 2015 4TH NATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING ( NCEECE 2015)
ISSN:
2352-5401
年:
2016
卷:
47
页码:
1061-1066
会议名称:
4th National Conference on Electrical, Electronics and Computer Engineering (NCEECE)
会议论文集名称:
AER-Advances in Engineering Research
会议时间:
DEC 12-13, 2015
会议地点:
Xian, PEOPLES R CHINA
会议主办单位:
[Lin, Jing] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Peoples R China.
会议赞助商:
Int Informatizat & Engn Assoc, Trans Tech Publicat
主编:
Wang, J Xu, P
出版地:
29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
出版者:
ATLANTIS PRESS
ISBN:
978-94-6252-150-6
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
摘要:
Association rule mining is the core technology of data mining. The Apriori algorithm is introduced and applied to the process of students taking courses and teaching themselves by a network teaching system. On the basis of large amounts of data, frequent itemsets will be found by the Apriori algorithm. The frequent itemsets describe the relation between students' characteristics and their behavior of taking courses. According to these relations, when a new student first takes courses, the teaching system can intelligently predict his/her te...

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