Artificial intelligence (AI) is a set of rapidly expanding disruptive technologies that are
radically transforming various aspects related to people, business, society, and the …

Purpose The primary aim of this study is to detail the use of soft computing techniques in
business and management research. Its objectives are as follows: to conduct a …

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 …

Financial inclusion aims to provide financial services at an affordable cost to low-income
groups in need. However, the lack of effective credit evaluation information for such groups …

Credit risk prediction should maximize a bank's loan profit. This paper performs modified
profit-based logistic regression (MPLR) by constructing an objective function with the …

Online consumer lending has recently been growing rapidly, but it faces high credit risk. For
this problem, developing powerful credit scoring models has become an effective solution …

Financial distress prediction (FDP) is a topic that has received wide attention in the finance
sector and data mining field. Applications of combining cost-sensitive learning with …

Abstract Sovereign Credit Ratings (SCRs) help international investors price the risk of
lending to sovereigns or entities domiciled within that sovereign, thereby impacting cost and …

This research introduces an innovative machine learning model capable of accurately
classifying the direction of credit limit adjustments. It also identifies the variables that will be …