Study on student score based on data mining

Wang, Jinlong, Wu, Shunyao, Jiao, Yang and Vu, Huy Quan 2010, Study on student score based on data mining, Journal of convergence information technology, vol. 5, no. 6, pp. 171-179, doi: 10.4156/jcit.vol5.issue6.18.

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Title Study on student score based on data mining
Author(s) Wang, Jinlong
Wu, Shunyao
Jiao, Yang
Vu, Huy Quan
Journal name Journal of convergence information technology
Volume number 5
Issue number 6
Start page 171
End page 179
Total pages 9
Publisher Advanced Institute of Convergence IT (AICIT)
Place of publication Korea
Publication date 2010-08
ISSN 1975-9320
Keyword(s) score analysis
data mining
educational data mining
Summary Education is a complex systematic engineering, which is the guarantee of training high-quality talent, helping society make full use of educational outcomes and promote the healthy development of education. In the education, the students' score is a very important quantitative evaluation indicator, which can objectively reflect the effects of educational system and is an important basis to make lots of scientific decisions. This paper uses clustering algorithm and decision tree to comprehensively analyze the students' score, and obtains useful results. It can be observed that the results are valuable for the teaching and management.
Language eng
DOI 10.4156/jcit.vol5.issue6.18
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 810107 National Security
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2010
Copyright notice ©2010, Advanced Institute of Convergence IT (AICIT)
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Document type: Journal Article
Collection: School of Information Technology
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