Student Performance Monitoring System Using Decision Tree Classifier-Reference-Cited by-同舟云学术

Student Performance Monitoring System Using Decision Tree Classifier

Published:2021 Issue: Volume: Page:393-407
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Ramakrishna Sajja V.,Jhansi Lakshmi P.,Bhupal Naik D. S.,Kalluri Hemantha Kumar

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-9516-5_33

Reference20 articles.

1. M. Al-Razgan, A.S. Al-Khalifa, H.S. Al-Khalifa, Educational data mining: a systematic review of the published literature 2006–2013, in Proceedings the 1st International Conference on Advanced Data and Information Engineering (2013), pp. 711–719

2. M. Hofmann, R. Klinkenberg, RapidMiner: Data Mining Use Cases and Business Analytics Applications (Chapman and Hall/CRC Data Mining and Knowledge Discovery Series) (CRC Press, Boca Raton, 2013)

3. J.R. Quinlan, Induction of decision trees. Mach. Learn. 1(1), 81–106 (1986)

4. H. Kaur, A literature review from 2011 to 2014 on student’s academic performance prediction and analysis using decision tree algorithm. J. Glob. Res. Comput. Sci. 9(5), 10–15 (2018)

5. N.V.K. Rao et al., A review on data mining approach used in education data mining using decision tree algorithm. J. Adv. Res. Dyn. Control Syst. 1735–1738 (2018)

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