Source: Government Information Quarterly. Unidade: IME
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
ABNT
CORRÊA, Andreiwid Sheffer; MELO JR., Alencar; SILVA, Flávio Soares Corrêa da. A deep search method to survey data portals in the whole web: toward a machine learning classification model. Government Information Quarterly, Greenwich, Elsevier, v. 37, n. 4, p. 1-15, 2020. Disponível em: < https://doi.org/10.1016/j.giq.2020.101510 > DOI: 10.1016/j.giq.2020.101510.APA
Corrêa, A. S., Melo Jr., A., & Silva, F. S. C. da. (2020). A deep search method to survey data portals in the whole web: toward a machine learning classification model. Government Information Quarterly, 37( 4), 1-15. doi:10.1016/j.giq.2020.101510NLM
Corrêa AS, Melo Jr. A, Silva FSC da. A deep search method to survey data portals in the whole web: toward a machine learning classification model [Internet]. Government Information Quarterly. 2020 ; 37( 4): 1-15.Available from: https://doi.org/10.1016/j.giq.2020.101510Vancouver
Corrêa AS, Melo Jr. A, Silva FSC da. A deep search method to survey data portals in the whole web: toward a machine learning classification model [Internet]. Government Information Quarterly. 2020 ; 37( 4): 1-15.Available from: https://doi.org/10.1016/j.giq.2020.101510