Association Rule Mining for Selecting Proper Students to Take Part in Proper Discipline Competition: A Case Study of Zhejiang University of Finance and Economics

Association Rule Mining for Selecting Proper Students to Take Part in Proper Discipline Competition: A Case Study of Zhejiang University of Finance and Economics

In recent years, the educational issues have attracted more and more researchers’ and teachers’ attention. On the other hand, the development of data mining technology, provides a new method to extract the useful information from the complex educational data. In order to increase the chance of stude...

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Bibliographic Details
Main Authors: Xiaoling Huang, Yangbing Xu, Shuai Zhang, Wenyu Zhang
Format: Article
Language:English
Published: Kassel University Press 2018-03-01
Series:International Journal of Emerging Technologies in Learning (iJET)
Subjects:
association rule mining
Apriori algorithm
R programming
discipline competition
Online Access:http://online-journals.org/index.php/i-jet/article/view/8382

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