Abstract
Fraud detection which is one of the most important applications of machine learning in finance and e-commerce, insurance, and other industries. It helps organizations identify suspicious activities, such as credit card fraud, identity theft, or fake claims, by analyzing data patterns and detecting anomalies that differ from normal behavior.
Keywords
Fraud Dectection pattern, Algorithmic pattern, Machine learning, Artificial intelligence.
Citations
IRE Journals:
Harish Ramakrishnan, Rakesh Darji, Suyog Kevane; Sunil Ghadigaonkar, Siddhikesh Warandekar; Rajesh Kamble, Akshay Kamble; Shankar S "Fraud Detection Analysis Using Machine Learning" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 1191-1195 https://doi.org/10.64388/IREV9I5-1712082
IEEE:
Harish Ramakrishnan, Rakesh Darji, Suyog Kevane; Sunil Ghadigaonkar, Siddhikesh Warandekar; Rajesh Kamble, Akshay Kamble; Shankar S
"Fraud Detection Analysis Using Machine Learning" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1712082
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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