[1] AbeerBadr El Din Ahmed and Ibrahim Sayed Elaraby, “Data Mining: A prediction for Student’s Performance Using Classification Method”, World Journal of Computer Application and Technology, pp. 43-47, 2014.
[2] B. E. D Ahemad and I.S AElarby, “Prediction for student’sperformace using classification Method World Journal of Computer Application and Technology,pp. 43-47 2014.
[3] M. A. Al-Barrak and M. Al-Razgan, “Predicting Students Final GPA Using Decision Trees: A Case Study,” Int. J. Inf. Educ. Technol., Vol. 6, no. 7, pp. 528–533, 2016.
[4] Amirah Mohamed Sahariri, WahidahHusian and Nurainiabdul Rashid, “A Review on predicting student’s performance using Data mining Techniques”,Elesevier,The Third Information Systems International Conference,pp. 414-422 (2015)
[5] Amajad Abu Saa,“Educational Data Mining and Student’s Performance Prediction”, International Journal of Advanced Computer Science and Applications, Vol. 7 No.5, pp. 201624.
[6] G. Arumugam, and S. Suguna, “Predictive Prefetching Framework Based on New Preprocessing Algorithms Towards Latency Reduction”, Asian Journal of Information Technology, Medwell Journals.ISSN: 1682 -3915,2008.
[7] C. Anuradha1 and T. Velmurugan, “A Comparative Analysis on the Evaluation of Classification Algorithms in the Prediction of Students Performance”.
[8] Brijesh Kumar and Saurabh, Indian Journal of Science and Technology,Vol. 8, No. 15,2015.
[9] Brijesh Kumar, Saurabh, Pal, “Mining Educational Data to Analyze student’s performance”, International Journal of Advanced Computer Science and Application,Vol. 2,No.6,2011.
[10] Dorina Kabakchieva, “Student performance by using Data mining Classification Algorithms”, International journal of Computer Science and Management Research, Vol. 1, 2012.
[11] Ellenita Red, T. Tesaionica,Briags“Classification of Students performance in a Learning Management System Using their eLearning Readiness Attributes”, Research Gate,2015.
[12] Han and M. Kamber, “Data mining concepts and Technologies”, Morgan Kaufmann, 2000.
[13] Home, International Educational Data Mining Society. [Online]. Available: http://www.educationaldatamining.org/.
[14] S.Jothilakshmi,Dr.M.Thangaraj, “Design and Development of Recommender System for Target Marketing of Higher Education Institution Using EDM”, International Journal of Applied Engineering Research ISSN 0973-4562, Vol.13, 2018.
[15] Kalpesdh Adhatrao and AdityaGaykar, “Predicting Studnet’s Performance using ID3 and C4.5 classification Algorithms”,International Journal of Data mining &knowledge Management process, Vol. 3, 2013.
[16] T. Mishra, D. Kumar, and Sangeeta Gupta, “Students’ Employability Prediction Model through Data Mining,” International Journal of Applied Engineering Research, Vol. 11, No. 4, pp. 2275-2282, 2016.
[17] B. Minaei-Bidgoli, D. A. Kashy, G. Kortemeyer, and W. F. Punch, “Predicting student performance: an application of data mining methods with an educational Web-based system,” in 33rd Annual Frontiers in Education (FIE 2003), Westminster, CO, 2003.
[18] O. K. Oyedotun, S.N. Tackie, and Ebenezer O. Olaniyi, “Data Mining of Student’sPerformance: Turkish Students as a Case Study,” International Journal of Intelligent Systems and Applications, Vol. 7, No. 9, pp. 20-27, 2015.
[19] ParneetKaur, Manpreetsingh and GurpreetsinghJosan,“Classification and Prediction based data mining algorithms to predict slow learnears in education sector”,Elsevier,Procedia Computer Science, pp. 500-508,2015.
[20] M. Ramaswami and R. Bhaskaran, “A CHAID based performance prediction model in educational data mining,” International Journal of Computer Science, Vol. 7, No. 1, pp. 10-18, 2010.
[21] C. Romero and S. Ventura, “Educational data mining: A survey from 1995 to 2005,” Expert systems with applications, Vol. 33, No. 1, pp. 135-146, 2007.
[22] S. Slater, S. Joksimovic´, V. Kovanovic, R. S. Baker, and D. Gasevic, “Tools for Educational Data Mining: A Review,” Journal of Educational and Behavioral Statistics, 2016.
[23] P. Strecht, L. Cruz, C. Soares, J. Mendes-Moreira, and R. Abreu, “A Comparative Study of Classification and Regression Algorithms for Modelling Students’ Academic Performance,” in International Educational Data Mining Society, pp. 392-395, 2015.
[24] P. Sharma, D. Singh, and A. Singh, “Classification Algorithms on a Large Continuous Random Dataset Using Rapid,” IeeeSpons. 2Nd Int. Conf. Electron. Commun. Syst., no. Icecs, pp. 704–709, 2015.
[25] G.Sujatha, Sindhu,“Predicting student performance using personalized analytics”, International Journal of Pure and Applied Mathematics, Vol. 119, No. 12, pp. 229-238,2018.
[26] E.Venkatesan, S.Selvaragini,“A Study on the result based analysis of student performance using Data mining”,International Journal of Pure and Applied Mathematics, Vol. 116, No. 16,pp. 375-379.2017.
[27] S.K YadavBBharadwaj, and S. Pal, “A comparative study for predicting student’s performance”, International Journal of Innovative Technology &Creative Engineering, Vol. 1, No 12,2012.
[28] S.K.Yadav and S Pal, “A Prediction for Performance improvement of engineering students using classification”, World of Computer Science and Information Technology, Vol. 2, No. 2, pp. 51-56,2012.
[29] B. J. Zimmerman and A. Kitsantas, “Comparing student’s self-discipline and self-regulation measures and their prediction of academic achievement”, Contemporary Educational Psychology, Vol. 39, No. 2, pp. 145-155, 2014.