Credit scoring, statistical techniques and evaluation criteria: a review of the literature
HA Abdou, J Pointon - Intelligent systems in accounting …, 2011 - Wiley Online Library
Credit scoring has been regarded as a core appraisal tool of different institutions during the
last few decades and has been widely investigated in different areas, such as finance and …
last few decades and has been widely investigated in different areas, such as finance and …
Machine learning techniques for credit risk evaluation: a systematic literature review
Credit risk is the risk of financial loss when a borrower fails to meet the financial commitment.
While there are many factors that constitute credit risk, due diligence while giving loan (credit …
While there are many factors that constitute credit risk, due diligence while giving loan (credit …
[BOOK][B] Advanced data mining techniques
The intent of this book is to describe some recent data mining tools that have proven
effective in dealing with data sets which often involve unc-tain description or other …
effective in dealing with data sets which often involve unc-tain description or other …
A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems
A Bahrammirzaee - Neural Computing and Applications, 2010 - Springer
Nowadays, many current real financial applications have nonlinear and uncertain behaviors
which change across the time. Therefore, the need to solve highly nonlinear, time variant …
which change across the time. Therefore, the need to solve highly nonlinear, time variant …
Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods
Credit risk assessment is a crucial element in credit risk management. With the extensive
research on consumer credit risk assessment in recent decades, the abundance of literature …
research on consumer credit risk assessment in recent decades, the abundance of literature …
Classification methods applied to credit scoring: Systematic review and overall comparison
The need for controlling and effectively managing credit risk has led financial institutions to
excel in improving techniques designed for this purpose, resulting in the development of …
excel in improving techniques designed for this purpose, resulting in the development of …
Machine learning in financial crisis prediction: a survey
WY Lin, YH Hu, CF Tsai - IEEE Transactions on Systems, Man …, 2011 - ieeexplore.ieee.org
For financial institutions, the ability to predict or forecast business failures is crucial, as
incorrect decisions can have direct financial consequences. Bankruptcy prediction and …
incorrect decisions can have direct financial consequences. Bankruptcy prediction and …
A novel heterogeneous ensemble credit scoring model based on bstacking approach
Y **a, C Liu, B Da, F **e - Expert Systems with Applications, 2018 - Elsevier
In recent years, credit scoring has become an efficient tool that allows financial institutions to
differentiate their potential default borrowers. Accordingly, researchers have developed a …
differentiate their potential default borrowers. Accordingly, researchers have developed a …
An empirical comparison of machine-learning methods on bank client credit assessments
Machine learning and artificial intelligence have achieved a human-level performance in
many application domains, including image classification, speech recognition and machine …
many application domains, including image classification, speech recognition and machine …
Combining cluster analysis with classifier ensembles to predict financial distress
CF Tsai - Information Fusion, 2014 - Elsevier
The ability to accurately predict business failure is a very important issue in financial
decision-making. Incorrect decision-making in financial institutions is very likely to cause …
decision-making. Incorrect decision-making in financial institutions is very likely to cause …