ARCHIVES
Original Article
Predictive Modeling for College Admission Using Machine Learning and Statistical Methods
Gopal V. Dose1
Yuvraj M. Sanghai2
Pranjal D. Sapkale3
Dr. G. P. Potdar4
123 Department of Computer Engineering, Pune Institute of Computer Technology (PICT), Pune, Maharashtra, India. 4Associate Professor, Department of Computer Engineering, Pune Institute of Computer Technology (PICT), Pune, Maharashtra, India.
Published Online: January-April 2025
Pages: 32-34
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250401006References
[1] S. Bhoite, K. Patil, and A. Sharma, "Predictive analytics of engineering and technology admissions," in Proc. IEEE Int. Conf.Computational Intelligence in Data Mining (ICCIDM), Dec. 2022, pp. 123-128.
[2] K. Kumari, A. Gupta, and P. Joshi, "CAPSLG: College Admission Predictor," in Proc. Int. Conf. on Automation and Systems Technology(ICAST), 2019, pp. 56-60.
[3] V. Sastry, P. Rao, and N. Gupta, "An automated prediction model for college admission system," Elem. Educ. Online, vol. 20, no. 7,pp. 234-239, 2021.
[4] A. Sivasangari, P. Suresh, and R. Jagan, "Prediction probability of university admission," in Proc. Int. Conf. on Computational Modeling and Communication (ICCMC), 2021, pp. 142-148.
[5] H. Mengash, "Using data mining techniques to predict student performance," IEEE Access, vol. 8, pp. 12415-12422, 2020.
[6] Z. Wang, L. Zhang, and X. Zhang, "Prediction of admission lines using machine learning," in Proc. Int. Conf. on Computer and Communication Technologies (ICCC), 2016, pp. 345-350.
[7] R. K. Sripath, M. Sharma, and V. K. Gupta, "Student career prediction using advanced ML techniques," Int. J. Eng. Technol. (IJET), vol.15, no. 6, pp. 123-130, 2018.
[8] M. Nie, Y. Luo, and T. Zhang, "Advanced forecasting of career choices," Front. Comput. Sci., vol. 12, no. 3, pp. 567-574, 2018.
[9] A. Slim, R. Raj, and S. Kumar, "Predicting student enrollment based on characteristics," in Proc. Educational Data Mining (EDM),2018, pp. 111-116.
[10] D. Kabakchieva, N. Georgiev, and D. Ivanova, "Analyzing university data for student profiles," in Proc. Educational Data Mining(EDM), 2011, pp. 87-92.
[11] A. Ragab, M. Ali, and S. Khaleel, "HRSPCA: Hybrid recommender for predicting admission," in Proc. Int. Symp. on Data Analysis(ISDA), 2012, pp. 203-208.
[2] K. Kumari, A. Gupta, and P. Joshi, "CAPSLG: College Admission Predictor," in Proc. Int. Conf. on Automation and Systems Technology(ICAST), 2019, pp. 56-60.
[3] V. Sastry, P. Rao, and N. Gupta, "An automated prediction model for college admission system," Elem. Educ. Online, vol. 20, no. 7,pp. 234-239, 2021.
[4] A. Sivasangari, P. Suresh, and R. Jagan, "Prediction probability of university admission," in Proc. Int. Conf. on Computational Modeling and Communication (ICCMC), 2021, pp. 142-148.
[5] H. Mengash, "Using data mining techniques to predict student performance," IEEE Access, vol. 8, pp. 12415-12422, 2020.
[6] Z. Wang, L. Zhang, and X. Zhang, "Prediction of admission lines using machine learning," in Proc. Int. Conf. on Computer and Communication Technologies (ICCC), 2016, pp. 345-350.
[7] R. K. Sripath, M. Sharma, and V. K. Gupta, "Student career prediction using advanced ML techniques," Int. J. Eng. Technol. (IJET), vol.15, no. 6, pp. 123-130, 2018.
[8] M. Nie, Y. Luo, and T. Zhang, "Advanced forecasting of career choices," Front. Comput. Sci., vol. 12, no. 3, pp. 567-574, 2018.
[9] A. Slim, R. Raj, and S. Kumar, "Predicting student enrollment based on characteristics," in Proc. Educational Data Mining (EDM),2018, pp. 111-116.
[10] D. Kabakchieva, N. Georgiev, and D. Ivanova, "Analyzing university data for student profiles," in Proc. Educational Data Mining(EDM), 2011, pp. 87-92.
[11] A. Ragab, M. Ali, and S. Khaleel, "HRSPCA: Hybrid recommender for predicting admission," in Proc. Int. Symp. on Data Analysis(ISDA), 2012, pp. 203-208.
Related Articles
2025
Transforming Cyber-Physical Systems: Machine Learning for Secure and Efficient Solutions
2025
Exploring AI Techniques for Quantum Threat Detection and Prevention
2025
Maturity Models for Business Intelligence: An Overview
2025
INSPIRO: An AI Driven Institution Auditor
2025
Adaptive AI Framework for Anomaly Detection and DDoS Mitigation in Distributed Systems
2025