In the realm of consumer lending, accurate credit default prediction stands as a critical
element in risk mitigation and lending decision optimization. Extensive research has sought …

Purpose Bank creditworthiness refers to the evaluation of a bank's ability to meet its financial
obligations. It is an assessment of the bank's financial health, stability and capacity to …

Presently, the use of a credit card has become an integral part of contemporary banking and
financial system. Predicting potential credit card defaulters or debtors is a crucial business …

The study conducts a comprehensive contemporary literature review taking the existing
works between 2016 to 2022 to investigate the utilization of Big Data analytics in the …

Abstract Machine learning is coming as a significant encroachment in the financial services
industry. Finance has always been about data and is considered a complex field of study …

Hybrid distributed computing software architectures gain great importance in data analysis
workflows as the number of available underlying machine learning libraries and data …

The credit card has been one of the most successful and prevalent financial services being
widely used across the globe. However, with the upsurge in credit card holders, banks are …

With the rise of various online and mobile payment systems, transaction fraud has become a
significant threat to financial security. This study explores the application of advanced …

Credit card fraud encompasses illicit activities aimed at unlawfully obtaining confidential
information to enable unauthorized individuals to engage in illegal transactions. As …

Over the past few decades, credit default prediction has been central to managing risk in a
consumer lending business. Credit default prediction allows lenders to optimize lending …