Investigation of Student Performance with Contextual Factors Using Association Rules in Higher Educational Institutions (HEIs)-Reference-Cited by-同舟云学术

Investigation of Student Performance with Contextual Factors Using Association Rules in Higher Educational Institutions (HEIs)

Published:2021 Issue: Volume: Page:431-442
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Bhaskaran Subhashini Sailesh

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-0171-2_41

Reference12 articles.

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3. Z.J. Kovacic, Early prediction of student success: mining student enrollment data. s.l., Proceedings of Informing Science & IT Education Conference (2010)

4. G. Vert, A. Chennamaneni, S.S. Iyengar, Potential application of contextual information processing to data mining. Las Vegas Nevada, USA, in Proceedings of the 2010 International Conference on Information & Knowledge Engineering, IKE 2010, 12–15 July 2010 (2010)

5. B.D. Gerardo, J. Lee, J. Lee, M. Park, M. Lee, The association rule algorithm with missing data in data mining, in Proceedings of Computational Science and its Applications—ICCSA 2004, pp. 97–105.

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