Association rule mining (ARM) is one of the core techniques of data mining to discover
potentially valuable association relationships from mixed datasets. In the current research …

There is consensus that the best way for reducing insolvency situations in financial
institutions is through good risk management, which involves a good client selection …

The exponential increase of the information available in digital format during the last years
and the expectations of future growth make it necessary for the organization of information in …

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 …

One of the goals of financial institutions is to reduce credit risk. Consequently they must
properly select customers. There are a variety of methodologies for credit scoring, which …

Data Science (DS) is an interdisciplinary field responsible for extracting knowledge from the
data. This discipline is particularly complex in the face of Big Data: large volumes of data …

This paper performs a comparative analysis of two kind of methods for extracting credit risk
rules. On one hand we have a set of methods based on the combination of an optimization …

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 …

Esta línea de investigación se centra en el estudio y desarrollo de Sistemas Inteligentes
basados en Redes Neuronales Artificiales aplicadas al Reconocimiento de Patrones ya la …

FRvarPSO is a new method for obtaining classification rules, which operates on nominal
and/or fuzzy attributes. It combines LVQ, which is a supervised learning neural network. The …