ISSN:2582-5208

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Paper Key : IRJ************534
Author: Dnyaneshwar Sukhdev Bhise,Swati Vijay More,Vaibhav Gorakh Prasad,Ashwini Ajay Deshpande
Date Published: 01 May 2023
Abstract
In this transaction fraud detection project, we aim to develop a system thatcan accurately identify and prevent fraudulent transactions. The project will involve the use of machine learning algorithms, rule-based systems, and verification and authentication techniques to analyze transaction data and identify fraudulent activity.The project will involve a review of the literature on fraud detection techniques, machine learning algorithms, and related studies. The project will also include the collection and preprocessing of transaction data, the development and testing of machine learning algorithms and rule-based systems.
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