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Advances in technology and an increase in the amount and complexity of data that are generated in healthcare have led to an indispensable revolution in this sector related to big data. Analytics of information based on multimodal clinical data sources requires big data projects. When starting big data projects in the healthcare sector, it is often necessary to assess the maturity of an organization...
The rating (score) and knowledge of the payment behavior of a client to reduce the time of granting of consumer credit is one of the requirements that financial institutions have dedicated to providing these services. For qualifying customers, these entities are based on qualitative and quantitative information of a client, making it difficult a homogeneous rating. Because of the need to reduce response...
After the global financial crisis of 2008 the banking sector has shown a strong interest, internationally and in Colombia, in developing models to manage and measure the risks of business processes and in particular the risk associated with the operations of an organization (operational risk). This article proposes a model based on fuzzy credibility theory in order to mix different data sources for...
Despite guidelines that were established by the Basel II framework for operational risk in 2004, the global financial crisis started in 2008 and highlighted the lack of tools and mechanisms for operational risk management in financial institutions. This is why institutions globally have shown a strong interest in the development of models for operational risk management. However, these have come with...
In this paper a model, which is based on the principles of evolutionary computation, will be developed and analyzed for financial forecasting and time series prediction. The model refers to returns, prices and transaction volumes of stocks that are listed on the Colombian Stock Exchange (BVC), and particularly to time series that represent the returns of the stocks of Ecopetrol. The proposed model...
The global financial crisis of 2008 increased the interest of financial sector entities worldwide, and especially of financial institutions in Colombia, in the development of models that allow managing the risk of their business operations (Operational Risk). That is why, for the modeling of this type of risk, a model will be developed and analyzed that is based on the principles of fuzzy neural computation...
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