APA (7th ed.) Citation

Oparauwah, N. M., Njoku, D. O., Onyemauche, U. C., Okpalla, C. L., Odii, J. N., Jibiri, J. E., & Okolie, S. A. (2024, November 26). Support Vector Machine and Boosted Regression Tree as Effective Data Mining Tools for Predicting Students' Academic Performance. IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (Print), 1-5. https://doi.org/10.1109/NIGERCON62786.2024.10927303

Chicago Style (17th ed.) Citation

Oparauwah, Nnaemeka M., Donatus O. Njoku, Uchenna C. Onyemauche, Chidimma L. Okpalla, Juliet N. Odii, Janefrances E. Jibiri, and Stanley A. Okolie. "Support Vector Machine and Boosted Regression Tree as Effective Data Mining Tools for Predicting Students' Academic Performance." IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (Print) 26 Nov. 2024: 1-5. https://doi.org/10.1109/NIGERCON62786.2024.10927303.

MLA (9th ed.) Citation

Oparauwah, Nnaemeka M., et al. "Support Vector Machine and Boosted Regression Tree as Effective Data Mining Tools for Predicting Students' Academic Performance." IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (Print), 26 Nov. 2024, pp. 1-5, https://doi.org/10.1109/NIGERCON62786.2024.10927303.