A Hybrid Feature Selection and Clustering-Based Ensemble Learning Approach for Real-Time Fraud Detection in Financial Transactions
Naif Almusallam, Junaid Qayyum · Computers, materials & continua/Computers, materials & continua (Print) · 2025
This paper proposes a novel hybrid fraud detection framework that integrates multi-stage feature selection, unsupervised clustering, and ensemble learning to improve classification performance in financial transaction monitor... | Find, read and cite all the research you need on Tech Science Press