scholarly journals Detection of credit card fraud transactions using machine learning algorithms techniques with data driven approaches: a comparative study

2021 ◽  
Vol 10 (11) ◽  
Author(s):  
Shilpi Dandotia ◽  
Sandeep K. Tiwari
Keyword(s):  
Machine Learning ◽  
Comparative Study ◽  
Credit Card ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Data Driven ◽  
Credit Card Fraud

scholarly journals DETECTING CREDIT CARD FRAUD USING MACHINE LEARNING ALGORITHMS

InterConf ◽  
2021 ◽  
pp. 393-403
Author(s):  
Olexander Shmatko ◽  
Volodimir Fedorchenko ◽  
Dmytro Prochukhan
Keyword(s):  
Machine Learning ◽  
Financial Services ◽  
Credit Card ◽  
Banking Sector ◽  
Learning Algorithm ◽  
Learning Algorithms ◽  
Credit Cards ◽  
Internet Banking ◽  
Machine Learning Algorithms ◽  
Credit Card Fraud

Today the banking sector offers its clients many different financial services such as ATM cards, Internet banking, Debit card, and Credit card, which allows attracting a large number of new customers. This article proposes an information system for detecting credit card fraud using a machine learning algorithm. Usually, credit cards are used by the customer around the clock, so the bank's server can track all transactions using machine learning algorithms. It must find or predict fraud detection. The dataset contains characteristics for each transaction and fraudulent transactions need to be classified and detected. For these purposes, the work proposes the use of the Random Forest algorithm.

scholarly journals CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING ALGORITHMS

2020 ◽  
Vol 6 (6) ◽  
pp. 48-58
Author(s):  
Risha Irshad Khan ◽  
Rachana N ◽  
Varshitha Chandra B. R. ◽  
Rajeshwari K
Keyword(s):  
Machine Learning ◽  
Credit Card ◽  
Learning Algorithms ◽  
Fraud Detection ◽  
Machine Learning Algorithms ◽  
Credit Card Fraud
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