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pro vyhledávání: '"Beserra, Rafaella Santos"'
Autor:
Beserra, Rafaella Santos, Barbosa, Nyedja Fialho Morais, Peixoto, Ana Patricia Bastos, Morais Xavier, Érika Fialho, Jale, Jader Silva, Xavier Júnior, Sílvio Fernando Alves
Publikováno v:
Research, Society and Development; Vol. 11 No. 7; e15211729761
Research, Society and Development; Vol. 11 Núm. 7; e15211729761
Research, Society and Development; v. 11 n. 7; e15211729761
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
Research, Society and Development; Vol. 11 Núm. 7; e15211729761
Research, Society and Development; v. 11 n. 7; e15211729761
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
With the advancement of Big Data and the growing number of large masses of data in the most diverse areas of study, data mining techniques become increasingly necessary to obtain accurate and robust statistical information. This study aimed to show t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::3f7d54c93c664c6ccfdf838ddde05cc9
https://rsdjournal.org/index.php/rsd/article/view/29761
https://rsdjournal.org/index.php/rsd/article/view/29761
