A Study on Comparative Evaluation of Credit Card Fraud Detection Using Tree-Based Machine Learning Models

2021 ◽  
pp. 212-219
Author(s):  
Thitiwat Ruangsakorn ◽  
Song Yu
Keyword(s):  
Machine Learning ◽  
Credit Card ◽  
Comparative Evaluation ◽  
Fraud Detection ◽  
Learning Models ◽  
Credit Card Fraud ◽  
Machine Learning Models

scholarly journals Analysis of Credit Card Fraud detection using Machine Learning models on balanced and imbalanced datasets

2021 ◽  
Vol 9 (7) ◽  
pp. 846-852
Keyword(s):  
Machine Learning ◽  
Logistic Regression ◽  
Predictive Models ◽  
Credit Card ◽  
Fraud Detection ◽  
Classification Algorithms ◽  
Learning Models ◽  
Credit Card Fraud ◽  
Online Transactions ◽  
Machine Learning Models

With the advent of modern transaction technology, many are using online transactions to transfer money from one person to another. Credit Card Fraud, a rising problem in the financial department goes unnoticed most of the time. A lot of research is going on in this area.The Credit Card Fraud Detection project is developed to spot whether a new transaction is fraudulent or not with the knowledge of previousdata. We use various predictive models to ascertain how accurate they are in predicting whether a transaction is abnormalor regular. Techniques like Decision Tree, Logistic Regression, SVMand Naïve Bayes are the classification algorithms to detect non-fraud and fraud transactions.

scholarly journals Credit Card Fraud Detection System

2020 ◽  
Vol 6 (12) ◽  
pp. 24-27
Author(s):  
Shashank Singh and Meenu Garg
Keyword(s):  
Machine Learning ◽  
Credit Card ◽  
Data Science ◽  
Detection System ◽  
Fraud Detection ◽  
Detection Problem ◽  
Credit Card Fraud ◽  
Local Outlier Factor ◽  
Local Outlier ◽  
Isolation Forest

It is essential that Visa organizations can distinguish false Mastercard exchanges so clients are not charged for things that they didn't buy. Such issues can be handled with Data Science and its significance, alongside Machine Learning, couldn't be more important. This undertaking expects to outline the demonstrating of an informational collection utilizing AI with Credit Card Fraud Detection. The Credit Card Fraud Detection Problem incorporates demonstrating past Visa exchanges with the information of the ones that ended up being extortion. This model is then used to perceive if another exchange is fake. Our target here is to identify 100% of the fake exchanges while limiting the off base misrepresentation arrangements. Charge card Fraud Detection is an average example of arrangement. In this cycle, we have zeroed in on examining and pre- preparing informational indexes just as the sending of numerous irregularity discovery calculations, for example, Local Outlier Factor and Isolation Forest calculation on the PCA changed Credit Card Transaction

Machine Learning for Credit Card Fraud Detection

2021 ◽  
Author(s):  
Yuxin Gao ◽  
Shuoming Zhang ◽  
Jiapeng Lu ◽  
Yuxin Gao ◽  
Shuoming Zhang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Credit Card ◽  
Fraud Detection ◽  
Credit Card Fraud

Credit Card Fraud Detection Using Spark and Machine Learning Techniques

2021 ◽  
pp. 163-172
Author(s):  
N. V. Krishna Rao ◽  
Y. Harika Devi ◽  
N. Shalini ◽  
A. Harika ◽  
V. Divyavani ◽  
...  
Keyword(s):  
Machine Learning ◽  
Credit Card ◽  
Fraud Detection ◽  
Machine Learning Techniques ◽  
Credit Card Fraud ◽  
Learning Techniques
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