Sep 3, 2024 · Financial fraud negatively impacts organizational administrative processes, particularly affecting owners and/or investors seeking to maximize their profits. Addressing this issue, this study...

Sep 21, 2023 · The use of real-time monitoring systems and machine learning algorithms to improve fraud detection and prevention in financial transactions is explored in this research study.

Nov 1, 2025 · This research provides both an operational fraud detection framework and establishes foundations for advancing financial forensics through machine learning applications.

Financial crime is increasingly facilitated by technology and globalization, demanding advanced IT tools for detection. This paper presents an approach to automate the detection of suspicious activities in …

Jun 12, 2025 · The rise of digital payments has accelerated the need for intelligent and scalable systems to detect fraud. This research presents an end-to-end, feature-rich machine learning framework for …

Nov 15, 2025 · Fraud detection in machine learning uses algorithms to identify suspicious patterns of behavior indicative of fraudulent activity.

5 days ago · Fraud Detection using Machine Learning 📌 Overview This project implements a machine learning–based fraud detection system to identify fraudulent financial transactions at scale. The …

6 days ago · Discover how machine learning is transforming fraud detection with real-time analysis, behavioral analytics, and adaptive security strategies.

Apr 18, 2024 · Machine learning and deep learning algorithms have surfaced as promising methods for detecting fraud in order to handle this problem. Authors present a thorough overview of the most …

Jun 24, 2025 · By continuously learning from new transaction patterns, the proposed framework ensures adaptability to emerging threats and supports real-time fraud detection. View all access and …