Prediction of Factors Associated with the Dropout Rates of Primary to High School Students in India Using Data Mining Tools-Reference-Cited by-同舟云学术

Prediction of Factors Associated with the Dropout Rates of Primary to High School Students in India Using Data Mining Tools

Published:2019-10-04 Issue: Volume: Page:242-251
ISSN:2194-5357
Container-title:Frontiers in Intelligent Computing: Theory and Applications
language:
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Author:

Maheshwari Ekansh,Roy Chandrima,Pandey Manjusha,Rautray Siddharth Swarup

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-32-9186-7_26

Reference15 articles.

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2. Márquez-Vera, C., et al.: Early dropout prediction using data mining: a case study with high school students. Expert Syst. 33(1), 107–124 (2016)

3. Kotsiantis, S.: Educational data mining: a case study for predicting dropout-prone students. Artificial intelligence in education: supporting learning through intelligent and social informed technology 1(2), 101–111 (2009)

4. Roy, C., Pandey, M., Rautaray, S.S.: A proposal for optimization of horizontal scaling in big data environment. In: Advances in Data and Information Sciences, pp. 223–230. Springer, Berlin (2018)

5. Rumberger, R.W.: Dropping out of middle school: a multilevel analysis of students and schools. Am. Educ. Res. J. 32(3), 583–625 (1995)

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