Educational Data Mining Survey for Predicting Student’s Academic Performance-Reference-Cited by-同舟云学术

Educational Data Mining Survey for Predicting Student’s Academic Performance

Published:2019-08-01 Issue: Volume: Page:293-302
ISSN:2367-4512
Container-title:Lecture Notes on Data Engineering and Communications Technologies
language:
Short-container-title:

Author:

Bonde Sharayu N.,Kirange D. K.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-24643-3_35

Reference57 articles.

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3. Waiyamai, K.: Improving Quality of Graduate Students by Data Mining. Department of Computer Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand (2003)

4. Archer, E.: Benchmarking the habits and behaviours of successful students: a case study of academic-business collaboration. Int. Rev. Res. Open Distance Learn. 15(1) (2014)

5. Kabakchieva, D.: Student performance prediction by using data mining classification algorithms. Int. J. Comput. Sci. Manag. Res. 1(4), 686–690 (2012)

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