The bankruptcy prediction research domain continues to evolve with many new different
predictive models developed using various tools. Yet many of the tools are used with the …

Performance of bankruptcy prediction models (BPM), which partly depends on the
methodological approach used to develop it, has virtually stagnated over the years. The …

Purpose: Business intelligence and decision support systems are now recognized as critical
enterprise infrastructure. Data is increasingly being used by business enterprises to react to …

The quality of financial decision‐making is very important to the future development of an
enterprise, but it is often affected by the completeness of useful information for decision …

Application of the machine learning methods on strongly imbalanced datasets is a
challenging task in the field of data processing. Imbalanced learning is part of many real …

From the time of Altman and the first bankruptcy prediction models, the prediction of default
of companies is in the centre of interest of many economists and scientists all over the world …

Now-a-days banking sector is considered as the back-bone of modern economy of a
country. Predicting correct performance of banks of a country can show the nearest future of …

A considerable number of publications accompanies the research topic of bankruptcy
prediction. This has been motivated by the massive toll on SMEs caused by the global crisis …

En los últimos años, el acceso a grandes volúmenes de información ha permitido que las
técnicas de aprendizaje automático se han consideradas en la elaboración de modelos …

El objetivo de este artículo es presentar un análisis bibliométrico sobre el uso que han
tenido las técnicas de Machine Learning (ML) en el proceso de predicción de quiebra …