Nov 26, 2021 · The thin-file borrowers are customers for whom a creditworthiness assessment is uncertain due to their lack of credit history; many researchers ...

Mar 1, 2023 · Graph data enhance creditworthiness-assessment performance. •. Graph data contribute the most to improving unbanked business credit assessment.

This thesis provides relationships that can be modeled in a banking environment and focuses on sharing a household, providing an end-to-end approach that ...

Sep 10, 2024 · The thin-file borrowers are customers for whom a creditworthiness assessment is uncertain due to their lack of credit history; ...

Title. On the combination of graph data for assessing thin-file borrowers' creditworthiness ; Is Part Of. Expert systems with applications, 2023-03, Vol.213, p.

Oct 22, 2024 · Thin-file borrowers are customers for whom a creditworthiness assessment is uncertain due to their lack of credit history.

On the combination of graph data for assessing thin-file borrowers' creditworthiness. https://doi.org/10.1016/j.eswa.2022.118809 ·. Journal: Expert Systems ...

Sep 27, 2022 · Want to know how much value different social network data provide to your credit risk models for people with little to no credit history?

On the combination of graph data for assessing thin-file borrowers' creditworthiness ... Here we introduce a framework to improve credit scoring models by ...

On the combination of graph data for assessing thin-file borrowers' creditworthiness. • When combining different GRL techniques over complex graph structures ...