Asian Journal of Information Technology
Year:
2021
Volume:
20
Issue:
5
Page No.
146 - 151
References
Barbosa, R.M. and D.R. Nelson, 2016. The use of support vector machine to analyze food security in a region of Brazil. Applied Artif. Intell., 30: 318-330.
CrossRef | Direct Link | Birara, E., M. Mequanent and T. Samuel, 2015. Assessment of food security situation in Ethiopia. World J. Dairy Food Sci., 10: 37-43.
Blessie, E.C. and E. Karthikeyan, 2012. Sigmis: A feature selection algorithm using correlation based method. J. Algorithms Comput. Technol., 6: 385-394.
CrossRef | Direct Link | Das, S., 2001. Filters, wrappers and a boosting-based hybrid for feature selection. Proceeding of the 18th International Conference on Machine Learning, June 28-July 1, 2001, San Francisco, CA., USA., pp: 74-81.
Dash, M. and H. Liu, 1997. Feature selection for classification. Intell. Data Anal., 1: 131-156.
CrossRef | Direct Link | Guyon, I. and A. Elisseeff, 2003. An introduction to variable and feature selection. J. Mach. Learn. Res., 3: 1157-1182.
Direct Link | Hall, M.A., 1999. Correlation-Based Feature Selection for Machine Learning. University of Waikato Press, New Zealand, Pages: 178.
Khaire, U.M. and R. Dhanalakshmi, 2019. Stability of feature selection algorithm: A review. J. King Saud Univ. Comput. Inf. Sci., Vol. 1, 10.1016/j.jksuci.2019.06.012
Kohavi, R. and G.H. John, 1997. Wrappers for feature subset selection. Artif. Intell., 97: 273-324.
CrossRef | Direct Link | Kumari, B. and T. Swarnkar, 2011. Filter versus wrapper feature subset selection in large dimensionality micro array: A review. Int. J. Comput. Sci. Inf. Technol., 2: 1048-1053.
Direct Link | Miao, J. and L. Niu, 2016. A survey on feature selection. Procedia Comput. Sci., 91: 919-926.
CrossRef | Direct Link | Mwadulo, M.W., 2016. A review on feature selection methods for classification tasks. Int. J. Comput. Appl. Technol. Res., 5: 395-402.
Direct Link | Okori, W. and J. Obua, 2011. Machine learning classification technique for famine prediction. Proceedings of the World Congress on Engineering Vol. 2, July 6-8, 2011, IAENG, London, UK., pp: 4-9.
Sanchez-Marono, N., A. Alonso-Betanzos and M. Tombilla-Sanroman, 2007. Filter methods for feature selection-a comparative study. Proceedings of the International Conference on Intelligent Data Engineering and Automated Learning, December 16-19, 2007, Springer, Birmingham, UK., pp: 178-187.
Srivastava, M.S., M.N. Joshi and M. Gaur, 2014. A review paper on feature selection methodologies and their applications. IJCSNS. Int. J. Comput. Sci. Network Secur., 14: 78-81.
Yildirim, P., 2015. Filter based feature selection methods for prediction of risks in hepatitis disease. Intl. J. Mach. Learn. Comput., 5: 258-263.
CrossRef | Direct Link |