International Journal of Data Science, Engineering, and Analytics (IJDASEA)
Vol. 2 No. 2 (2022): International Journal of Data Science, Engineering, and Analytics Vol 2, No 2,

A Fraud Detection Implementation Of Decision Tree C4.5 Algorithm For Fraud Detection On Anonymous Credit Card Transaction

Ulfa Nur Ulfa Mauludina (UPN Veteran Jawa Timur)
Dhian Satria Yudha Kartika (UPN Veteran Jawa Timur)
Ananda Devi Muri Utomo (UPN Veteran Jawa Timur)

Article Info

Publish Date
28 Nov 2022

Abstract

The development of technology today makes credit cards seen as a solution to problems that are not difficult and practical in conducting transactions at a bank. Not only is it easy to use when making payments, but using a credit card also doesn't require many requirements. However, with the increase in the use of credit cards, there are several emergencies of criminal acts that can cause losses for customers and banks. This study uses a dataset from the Kaggle website, which amounts to 56,962 original data from a bank in Europe. Data Mining has been reviewed as the best solution to solving this problem, so in this study, the Decision Tree C4.5 method will be used in detecting fraud in credit card transactions. Keywords: Credit Card. Fraud, Data Mining

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Journal Info
International Journal of Data Science, Engineering, and Analytics (IJDASEA)
Website

Abbrev

ijdasea

Publisher

Universitas Pembangunan Nasional Veteran Jawa Timur

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Focus and Scope The IJDASEA International Journal of Data Science, Engineering, and Analytics publishes original papers in the field of computer science which covers the following scope: 1. Theoretical Foundations: Probabilistic and Statistical Models and Theories Optimization Methods Data ...