Since the outbreak of the financial crisis, the major global credit rating agencies have
implemented significant changes to their methodologies to assess the sovereign credit risk …

Because of the low cost and user-friendliness, telemarketing has become a common way for
banks to obtain deposits for a long time. Meanwhile, researchers have been attempting to …

Software testing (ST) has been considered as one of the most important and critical activities
of the software development life cycle (SDLC) since it influences directly on quality. When a …

We propose a novel methodology for improving financial Decision Support Systems (DSS)
through automatic feature weighting. Using this methodology, we show that automatic …

Although a large number of solutions have been proposed to handle imbalanced
classification problems over past decades, many researches pointed out that imbalanced …

The current paper contains the theoretical foundation for the off-the-mainstream model
known as Alpha-Beta associative memories (α β α β model). This is an unconventional …

FinTech lending (eg, micro-lending) has played a significant role in facilitating financial
inclusion. It has reduced processing times and costs, enhanced the user experience, and …

The recurrent use of databases with categorical variables in different applications demands
new alternatives to identify relevant patterns. Classification is an interesting approach for the …

Rule-based classification is one of the important tasks in data mining due to its wide
applications, particularly in the domains that need to interpret the classification decision …

Credit scoring or predicting bankruptcy is among the most crucial techniques for identifying
high-risk and low-risk credit situations. Accordingly, enhancing the accuracy of bankruptcy …