Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Daniel C. F. Guzman"'
Autor:
Jorge L. Bazan, Thaicia S. de Almeida, Mauricio M. Ferreira, Daniel C. F. Guzman, Francisco Louzada, Milton Miranda, Alex L. Mota, Socorro Rangel, Cibele M. Russo, Lucas A. Santos, Franklina Toledo, Maristela O. Santos, José Alberto Cuminato
When dealing with predictive modeling of credit-granting, different types of attributes are used: Cadastral, Behavioral, Business / Proposal, Credit Bureaux, in addition to Public, Private or Subsidiaries Sources. The Postal Address Code (Código de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c1c13fb57e00f80ed3110575096b22f
https://doi.org/10.33774/miir-2021-4lgsp-v3
https://doi.org/10.33774/miir-2021-4lgsp-v3
Autor:
Mauricio M. Ferreira, Francisco Louzada, Milton Miranda, Maristela Oliveira dos Santos, Socorro Rangel, Thaicia S. de Almeida, Cibele M. Russo, Alex L. Mota, Daniel C. F. Guzman, Lucas A. Santos, Jorge Luis Bazán, Franklina Maria Bragion de Toledo
When dealing with predictive modeling on credit-granting, different types of attributes are used: Cadastral, Behavioral, Business / Proposal, Credit Bureaux, in addition to Public, Private or Subsidiaries Sources. The Postal Address Code (Código de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb4ff6f593f2e5d7759bc03597403b8d
https://doi.org/10.33774/miir-2021-4lgsp-v2
https://doi.org/10.33774/miir-2021-4lgsp-v2