Artificial intelligence (AI) is receiving increasing attention in business and society. In
banking, the first applications of AI were successful; however, AI is mainly applied in …

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 …

Abstract The Data Big Bang that the development of the ICTs has raised is providing us with
a stream of fresh and digitized data related to how people, companies and other …

Text-mining technologies have substantially affected financial industries. As the data in
every sector of finance have grown immensely, text mining has emerged as an important …

Increased risk exposure levels, technological developments and the growing information
overload in supply chain networks drive organizations to embrace data-driven approaches …

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 …

Banking as a data intensive subject has been progressing continuously under the promoting
influences of the era of big data. Exploring the advanced big data analytic tools like Data …

In recent years, as economic stability is shaking, and the unemployment rate is growing high
due to the COVID-19 effect, assigning credit scoring by predicting consumers' financial …

Stored-value cards, or prepaid cards, are increasingly popular. Like credit cards, their use is
vulnerable to fraud, costing merchants and card processors millions of dollars. Prior …

Financial distress prediction aims to provide the early warning signals for corporate
governance, which has been widely recognized as a promising way to reduce financial …