Prediction of Financial Crime Using Machine Learning
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2023, Vol 11, Issue 3
Abstract
The purpose of data analytics is to uncover previously unknown patterns and make use of such patterns to help in making educated decisions across a wide range of contexts. Because of advances in modern technology and the fact that credit cards have become an easy target for fraudulent activity, the incidence of credit card fraud has considerably increased in recent years. Credit card fraud is a significant issue in the industry of financial services, and it results in annual losses of billions of dollars. The development of a fraud detection algorithm is a difficult endeavor due to the paucity of real-world transaction datasets that are available due to confidentiality concerns and the very unbalanced nature of the datasets that are publicly available. Use a dataset from the real world in conjunction with a variety of supervised machine learning algorithms to identify potentially fraudulent credit card transactions. In addition, make use of these techniques to create a super classifier through the use of ensemble learning methods. Determine which variables are the most significant and could perhaps lead to a higher level of accuracy in the identification of fraudulent credit card transactions. In addition, we evaluate and discuss the performance of a number of other supervised machine learning algorithms that are currently available in the literature in contrast to the super classifier that can be implemented.
Authors and Affiliations
Indurthy Meghana, Bitra Pavan Venkatesh, Gaddipati Keerthi Ganesh, Nadendla Sumanth, and Redrouthu Tarun Teja
Keywords
Related Articles
- EP ID EP745157
- DOI 10.55524/ijircst.2023.11.3.19
- Views 48
- Downloads 0
Kinematics Analysis of Taekwondo Kick with Visual Feedback
The purpose of this study was to evaluate kinematics of Taekwondo side kick when visual feedback was present or absence. A total of 10 collegiate Taekwondo Pumsae athletes (age: 21±2.558 yrs, height: 166.91±7.354 cm, wei...
What-To-Taste: A Food Recommendation System
The Food recommendation system software is relatively new in this era, with the recommendation system that focuses on the user preferences posited. Generally we get confused about what to eat or try next, this problem is...
A CPW Fed Slot Antenna with Triangular Serrated Stub
This paper is aimed to focus on bandwidth enhancement of a slot antenna with coplanar waveguide feeding. The experimentation is performed on the general CPW structure which is having a signal conductor in the middle and...
Development of a Movie Recommendation System - MoviepleX
The content recommendation model, “Development of a Movie Recommendation System - MoviepleX” is aimed at providing accurate movie recommendations to users, on the basis of similarity with the movie they would enter for r...
A Review Paper on Slit Erosion
The eruptive wearing of hydrokinetic blades is a complex operation impacted by a number of elements such as silt size, softness and concentrations, flow speed, and foundation materials properties. As eruptive attrition a...