Author:
Viloria Amelec,Wang Guojun,Gaitan Mercedes
Reference24 articles.
1. Pineda Lezama, O., Gómez Dorta, R.: Techniques of multivariate statistical analysis: an application for the Honduran banking sector. Innov.: J. Sci. Technol. 5(2), 61–75 (2017)
2. Viloria, A., Lis-Gutierrez, J.P., Gaitán-Angulo, M., Godoy, A.R.M., Moreno, G.C., Kamatkar, S.J.: Methodology for the design of a student pattern recognition tool to facilitate the teaching—learning process through knowledge data discovery (Big Data). In: Tan, Y., Shi, Y., Tang, Q. (Eds.) Data Mining and Big Data. DMBD 2018. Lecture Notes in Computer Science, vol. 10943. Springer, Cham (2018)
3. Lee, A., Taylor, P., Kalpathy-Cramer, J.: A Tufail Machine learning has arrived! Ophthalmology 124, 1726–1728 (2017)
4. Yao, L.: The present situation and development tendency of higher education quality evaluation in Western Countries, p. 2006. Educ. Beef, Priv (2006)
5. Gregorutti, B., Michel, B., Saint-Pierre, P.: Grouped variable importance with random forests and application to multiple functional data analysis. Comput. Stat. Data Anal. 90, 15–35 (2015)