Data mining approach to predicting the performance of first year student in a university using the admission requirements-Reference-Cited by-同舟云学术

Data mining approach to predicting the performance of first year student in a university using the admission requirements

Published:2018-12-03 Issue:2 Volume:24 Page:1527-1543
ISSN:1360-2357
Container-title:Education and Information Technologies
language:en
Short-container-title:Educ Inf Technol

Author:

Adekitan Aderibigbe Israel^ORCID,Noma-Osaghae Etinosa

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Education

Link

http://link.springer.com/content/pdf/10.1007/s10639-018-9839-7.pdf

Reference53 articles.

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3. Agarwal, S., Pandey, G., & Tiwari, M. (2012). Data mining in education: Data classification and decision tree approach. International Journal of e-Education, e-Business, e-Management and e-Learning, 2, 140.

4. Ahmed, A. B. E. D., & Elaraby, I. S. (2014). Data mining: A prediction for Student's performance using classification method. World Journal of Computer Application and Technology, 2, 43–47.

5. Ahuja, R. & Kankane, Y. (2018). Predicting the probability of student's degree completion by using different data mining techniques. 474–477.

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