Predictive Modeling for Student Performance Data Using Decision Tree and Support Vector Machine
This paper is aimed to present a conceptual understanding that summarizes higher education analytics lifecycle. This paper explores the establishment of new architecture of technologies, experts, standards, and practices in the complex data infrastructure projects among higher education institutes....
| Main Authors: | Maryam Khanian, Najafabdi, Sarasvathi, Nagalingham, Sayed Mojtaba, Tabibian |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
INTI International University
2019
|
| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/1329/ http://eprints.intimal.edu.my/1329/1/ij2019_08.pdf |
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