1. 1. V. P. Bresfelean, N. Ghisoiu, R. Lacurezeanu, and D. A. Sitar-Taut, “Towards the development of decision support in academic environments,” Proc. Int. Conf. Inf. Technol. Interfaces, ITI, pp. 343–348, 2009.
   2. “International Educational Data Mining Society,” 2011. [Online]. Available: http://educationaldatamining.org/. [Accessed: 10-Jun2018].
   3.  T. Mishra, D. Kumar, and S. Gupta, “Mining students‟ data for prediction performance,” Int. Conf. Adv. Comput. Commun. Technol. ACCT, no. February 2014, pp. 255–262, 2014.
   4. S. K. Verma, R.S.Thakur, and S. Jaloree, “Pattern Mining Approach to Categorization of Students ‟ Performance using Apriori Algorithm,” Int. J. Comput. Appl., vol. 121, no. 5, pp. 0975 – 8887, 2015.
   5. T. M. Lakshmikanth and B. K. Sangareddy, “International Journal of Combined Research & Development ( IJCRD ) eISSN : 2321-225X ; pISSN : 2321-2241 Volume : 2 ; Issue : 5 ; May -2014 Application of a Naïve Bayesian Classification Algorithm for Students ‟ Performance Evaluation and Improvement in E,” pp. 86–90, 2014.