Analysis of methods for generating classification rules applicable to credit risk

P Jimbo Santana, A Villa Monte, E Rucci, LC Lanzarini… - 2017 - ri.conicet.gov.ar
Credit risk is defined as the probability of loss due to non-compliance by the borrower with
the required payments in relation to any type of debt. When financial institutions select their …

Variations of particle swarm optimization for obtaining classification rules applied to credit risk in financial institutions of Ecuador

P Jimbo Santana, L Lanzarini, AF Bariviera - Risks, 2019 - mdpi.com
Knowledge generated using data mining techniques is of great interest for organizations, as
it facilitates tactical and strategic decision making, generating a competitive advantage. In …

Minería de datos y big data: aplicaciones en riesgo crediticio, salud y análisis de mercado

LC Lanzarini, W Hasperué, A Villa Monte… - XX Workshop de …, 2018 - sedici.unlp.edu.ar
Esta línea de investigación se centra en el estudio y desarrollo de Sistemas Inteligentes
para la resolución de problemas de Minería de Datos y Big Data utilizando técnicas de …