Data mining methods linked to artificial intelligence applicable to credit risk

The Financial institutions, when properly selecting their clients, reduce their credit risk, banks use different methodologies in order to classify their clients according to the default risk they present; For this we analyze a set of personal variables as well as the financial situation of the clie...

• Päätekijä: Jimbo Santana, Patricia (author)
• Muut tekijät: Villa Monte, Augusto (author), Lanzarini, Laura (author), Fernández Bariviera, Aurelio (author)
• Aineistotyyppi: article
• Kieli: spa
• Julkaistu: 2017
• Aiheet: riesgo crediticio; reglas de clasificación; redes neuronales competitivas; optimización mediante cúmulos de partículas; credit risk; classification rules; competitive neural networks; optimization by clusters of particles
• Linkit: https://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/61