Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Cardoso, M. G. M. S. & Chambel, L. (2023). A valuation model for lab-grown diamonds.  XXX Jornadas de Classificação e Análise de Dados (JOCLAD2023).
Exportar Referência (IEEE) 
M. M. Cardoso and L. M. Cardoso,  "A valuation model for lab-grown diamonds", in  XXX Jornadas de Classificação e Análise de Dados (JOCLAD2023), Viana do Castelo, 2023
Exportar BibTeX 
@misc{cardoso2023_1728227485877,
	author = "Cardoso, M. G. M. S. and Chambel, L.",
	title = "A valuation model for lab-grown diamonds",
	year = "2023",
	url = "https://sites.google.com/view/joclad//"
}
Exportar RIS 
TY  - CPAPER
TI  - A valuation model for lab-grown diamonds
T2  -  XXX Jornadas de Classificação e Análise de Dados (JOCLAD2023)
AU  - Cardoso, M. G. M. S.
AU  - Chambel, L.
PY  - 2023
CY  - Viana do Castelo
UR  - https://sites.google.com/view/joclad//
AB  - This study aims to develop a valuation model for lab-grown cut diamonds
based on data published on the Internet. Regression trees, Bayesian Networks,
and K-Nearest Neighbors are used for this purpose. These different techniques
have a complementary role in the application. The K-Nearest Neighbors has
a better performance in prediction. Regression trees contribute to a better
understanding of the relationship between predictors and the target. Bayesian
Networks also add some insights in this respect. Finally, the models’ results
are compared to similar approaches when applied to natural diamonds.
ER  -