We propose a two-stage model for dealing with the temporal degradation of credit scoring models. First, we develop a model from a classical framework, with a static supervised learning setting and binary output. Then, we introduce the time-changing economic factors, using a regression between...

In recent years we witnessed an impressive advance in the social networks field, which became a "hot" topic and a focus of considerable attention. Also, the development of methods that focus on the analysis and understanding of the evolution of data are gaining momentum. In this paper we present...

This paper reports advances in the entity extraction task (named entity identification) of a text mining process that aims at unveiling non-trivial semantic structures, such as relationships and interaction between entities or communities. We proposed a 3-phase method that is applicable to the...

This article promotes sentiment analysis as an alternative research technique for collecting and analyzing textual data on the internet. Sentiment analysis is a data mining technique that systematically evaluates textual content using machine learning techniques. As a research method in...

The purpose of this paper is to explain differences in the productivity of capital across countries taking 84 rich and poor countries over the period 1980-2011, and to test the orthodox neoclassical assumption of diminishing returns to capital. The marginal product of capital is measured as the...

The rapid growth in the consumption of electricity in China and India has been covered at 80% by coal, which has the side effect of emitting CO2 to the atmosphere. The alternative is the use of nuclear energy that, to become unquestionably competitive, must use supercritical water as coolant....

In the presence of events that are seen as ambiguous by all agents in an economy, if preferences are representable by expected uncertain utility functions (Gul and Pesendorfer, 2014), general equilibrium does not typically exist.