Exploration of Advanced Machine Learning Algorithms for Enhanced Fraud Detection in Financial Transactions

Komari, Jagadeesh (2023) Exploration of Advanced Machine Learning Algorithms for Enhanced Fraud Detection in Financial Transactions. Masters thesis, Dublin, National College of Ireland.

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Abstract

Financial institutions has been facing a growing threat of fraud in their complex transactions across the globe. This study analyzes various machine learning methods which strengthen the financial security by detecting the fraud related to the financial transactions. Where the study investigates the applications of the machine learning methods like k-Nearest Neighbors (KNN), Decision Trees, Random Forest, and Logistic Regression can identify and prevent the financial transaction fraud. These multiple algorithms have been evaluated for identifying various types of complicated patterns and abnormalities in large amount data sets to improve financial system adaptability to recognize it all. Our Research evaluates the people’s ability to recognize and prevent from the fraudulent transactions. The findings in this study which contributes to financial security machine learning understanding and the use of it. This results where the Financial institutions and organizations can greatly enhance their financial fraud prevention measures by utilizing the insights generated by machine learning techniques such as k-Nearest Neighbors, Decision Trees, Random Forest, and Logistic Regression.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Subhnil, Shubham UNSPECIFIED
Uncontrolled Keywords:	Advance Machine Learning Algorithms; Financial Fraudulents; Fraudulent Detection
Subjects:	H Social Sciences > HV Social pathology. Social and public welfare > Criminology > Crimes and Offences H Social Sciences > HG Finance Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	15 May 2025 15:15
Last Modified:	15 May 2025 15:15
URI:	https://norma.ncirl.ie/id/eprint/7551

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