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English Information

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Authors
# Name
1 Danielle de Albuquerque(daniellefalbuquerque21@gmail.com)
2 Diego Brandão(diego.brandao@cefet-rj.br)
3 Rafaelli Coutinho(rafaelli.coutinho@cefet-rj.br)

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Reference
# Reference
1 M.R. Ahmed et al. A comprehensive analysis on undergraduate student academic performance using feature selection techniques on classification algorithms. In ICCCNT 2020, pages 1–6, 2020.
2 G. Chandrashekar and F. Sahin. A survey on feature selection methods. Computers & Electrical Engineering, 40(1):16–28, 2014.
3 G. Chandrashekar and F. Sahin. A survey on feature selection methods. Computers & Electrical Engineering, 40(1):16–28, 2014.
4 S. Davies and S. J. Russell. NP-completeness of searches for smallest possible feature sets. In AAAI Symposium on Intelligent Relevance, pages 37–39. AAAI Press, 1994.
5 S. Davies and S. J. Russell. NP-completeness of searches for smallest possible feature sets. In AAAI Symposium on Intelligent Relevance, pages 37–39. AAAI Press, 1994.
6 J. D Febro. Utilizing feature selection in identifying predicting factors of student retention. International Journal of Advanced Computer Science and Applications, 10(9), 2019.
7 N. Gitinabard et al. Your actions or your associates? predicting certification and dropout in moocs with behavioral and social features. In EDM, 2018.
8 Khoshgoftaar T.M. Hancock, J.T. Survey on categorical data for neural networks. Journal of Big Data, 28(7), 2020.
9 C. Jalota and R. Agrawal. Feature selection algorithms and student academic performance: A study. Advances in Intelligent Systems and Computing, 1165:317–328, 2021.
10 C. Romero and S. Ventura. Educational data mining: A review of the state of the art. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 2010.
11 G. A.S. Santos et al. EvolveDTree: Analyzing Student Dropout in Universities. In ICSSIP, pages 173–178, 2020.
12 S. Singh and S. Selvakumar. A hybrid feature subset selection by combining filters and genetic algorithm. In ICCCA, pages 283–289, 2015.
13 F. Tan, X. Fu, Y. Zhang, and A. G. Bourgeois. A genetic algorithm-based method for feature subset selection. Soft Computing, 12(2):111–120, 2008. ISSN 14327643.
14 M. Zaffar, M. A. Hashmani, and K. S. Savita. Performance analysis of feature selection algorithm for educational data mining. In ICBDA 2017, pages 7–12, 2018.