Massive usage of credit cards has caused an escalation of fraud. Usage of credit cards has
resulted in the growth of online business advancement and ease of the e-payment system …

Purpose This paper contributes to the literature by discussing the impact of machine
learning (ML) on management accounting (MA) and the management accountant based on …

The main objective of this study is to evaluate and compare the performance of different
machine learning (ML) algorithms, namely, Artificial Neural Network (ANN), Extreme …

Bankruptcy prediction is a crucial application in financial fields to aid in accurate decision
making for business enterprises. Many models may stagnate to low-accuracy results due to …

Financial distress prediction provides an effective warning system for banks and investors to
correctly guide decisions on granting credit. Ensemble methods have demonstrated their …

Researchers have created several expert systems over the years to predict heart disease
early and assist cardiologists to enhance the diagnosis process. We present a diagnostic …

Customer churn prediction is very important for e-commerce enterprises to formulate
effective customer retention measures and implement successful marketing strategies …

Credit scoring is an effective tool for banks to properly guide decision profitably on granting
loans. Ensemble methods, which according to their structures can be divided into parallel …

In today's world, due to the advancement of technology, predicting the students' performance
is among the most beneficial and essential research topics. Data Mining is extremely helpful …

Corporate financial distress prediction research has been ongoing for more than half a
century, during which many models have emerged, among which ensemble learning …