Students’ Performance Prediction Using Machine Learning Approach

Author:

Badugu Srinivasu,Rachakatla Bhavani

Publisher

Springer Singapore

Reference11 articles.

1. Kekane, S., Khairnar, D., Patil, R., Vispute, S.R., Gawande, N.: Automatic student performance analysis and monitoring. Int. J. Innovative Res. Comput. Commun. Eng. (2016)

2. Venkatesan, E., Selvaragini, S.: A study on the result based analysis of student performance using data mining techniques. Int. J. Pure Appl. Math. (2017)

3. Sai Baba, Ch. M.H., Govindu, A., Raavi, M.K.S., Somisetty, V.P.: Student performance analysis using classification techniques. Int. J. Pure Appl. Math. (2016)

4. Chew Li Sa, bt. Abang Ibrahim, D.H., Hossain, E.D., bin Hossin, M.: Student performance analysis system (SPAS). In: 2014 the 5th International Conference on Information and Communication Technology for the Muslim World, ICT4M 2014 (2015). https://doi.org/10.1109/ict4m.2014.7020662

5. Singh, C., Gopal, A., Mishra, S.: Extraction and Analysis of Faculty Performance of Management Discipline from Student Feedback Using Clustering and Association Rule Mining Techniques. IEEE (2011)

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