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Journal of Statistics and Management Systems Volume 20, 2017 - Issue 4: Machine Learning and Software Systems
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Original Articles

A review of applications of data mining techniques for prediction of students’ performance in higher education

Isha ShingariSchool of Computer and System Sciences, Jaipur National University, Jaipur, IndiaCorrespondence[email protected]
,
Dinesh KumarSchool of Computer and System Sciences, Jaipur National University, Jaipur, India
&
Mudit KhetanSchool of Computer and System Sciences, Jaipur National University, Jaipur, India
Pages 713-722 | Published online: 16 Nov 2017

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Usha Badhera, Apoorva Verma & Pooja Nahar. (2022) Applicability of K-medoids and K-means algorithms for segmenting students based on their scholastic performance. Journal of Statistics and Management Systems 25:7, pages 1621-1632.
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Sarah Cornell-Farrow & Robert Garrard. (2020) Machine learning classifiers do not improve the prediction of academic risk: Evidence from Australia. Communications in Statistics: Case Studies, Data Analysis and Applications 6:2, pages 228-246.
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Jing Sun & Jian-Bo Wang. (2018) A study on career commitment and work value of physical education teachers in Chinese traditional sports school. Journal of Discrete Mathematical Sciences and Cryptography 21:6, pages 1467-1472.
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