scholarly journals Credit Card Fraud Detection using Supervised and Unsupervised Learning

2021 ◽  
Author(s):  
Vikas Thammanna Gowda
Keyword(s):  
Machine Learning ◽  
Unsupervised Learning ◽  
Credit Card ◽  
Learning Algorithms ◽  
Fraud Detection ◽  
Machine Learning Algorithms ◽  
Credit Card Fraud ◽  
Unsupervised Machine Learning ◽  
Supervised And Unsupervised Learning ◽  
Credit Card Use

In the present monetary situation, credit card use has gotten normal. These cards allow the user to make payments online and even in person. Online payments are very convenient, but it comes with its own risk of fraud. With the expanding number of credit card users, frauds are also expanding at the same rate. Some machine learning algorithms can be applied to tackle this problem. In this paper an evaluation of supervised and unsupervised machine learning algorithms has been presented for credit card fraud detection.

scholarly journals An Real Time E Commerce application to Find Credit Card Fraud

2021 ◽  
pp. 86-91
Author(s):  
G Yagnadatta ◽  
Nitesh N ◽  
Mohit S ◽  
Padmini M S
Keyword(s):  
Machine Learning ◽  
Unsupervised Learning ◽  
Real Time ◽  
Credit Card ◽  
Detection System ◽  
Learning Algorithms ◽  
Fraud Detection ◽  
Credit Card Fraud ◽  
Machine Learning Methods ◽  
Unethical Activity

Credit card fraud detection is one of the prominent problem in today's world. It is due to the extensive rise in both online and e-commerce transactions. The fraud happens when the users’ accessible card gets stolen from any unauthorized source or the use of credit card for fraudulent purposes. The present scenario is facing this kind of problem. So to detect the unethical activity, the credit card detection system was introduced. The main aim of this research is to focus on machine learning methods. So the algorithms used are unsupervised learning algorithms.

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