TECHNOLOGICAL FORECASTING ON CREDIT SCORE MODELING
Companies in the financial sector have a great need for financial management enabling safeguard the company for losses that could avoided. For this management is effective, one must adopt an analysis that takes into account criteria that allow a broad knowledge of the borrower's credit. However, the process of making a decision on a review of credit risk is often of very great complexity to human judgment, due to the huge range of variables involved in the process, which complicates the analysis of linked factors and their inter-relations. This study aims to survey patents deposit about credit score modeling using computational systems.
PaperID: p 2828-2835
Author's Name: Fillipe Silva Marinho Mota and Maria Augusta Silveira Netto Nunes