About this document
Real-Time ML for Banking Transactions by sandarlamin710 is a document available to read on EtoBox.
The focus of this research is the application of machine learning techniques for real-time analysis of transactions within core banking systems. Contemporary banking systems frequently utilize static, rule-based approaches, which may be insufficient for timely fraud detection and compliance assurance. The primary objective of this study is to develop and implement machine learning algorithms that facilitate real-time transaction analysis, thereby enhancing the detection of anomalies, reducing fr
- Author
- sandarlamin710
- Language
- EN