Results 31 to 40 of about 3,889 (172)

A Study to Determinants of Risk Management and Prevention in Credit Card Business in Commercial Banks [PDF]

Journal of Information Technology Management, 2021
The purpose of this study is to explore and determinants the risk management and prevention in credit card business of Malaysian commercial banks. There were five factors derived through the literature and experimental investigation that are affecting ...
GholamReza Zandi, Rezvan Torabi, Liu Han Min, Ananda Devan Sivalingam, Tan Teck Khong   +4 more
doaj   +1 more source

Credit Card Fraud Detection

, 2023
The emergence of credit card fraud as a major concern has coincided with the unparalleled ease brought about by the spread of electronic transactions and online commercein the quickly changing financial technology landscape [1].
Ledbetter, David, Sanjana Mehjabin, Suhee, Gyawali, Sanjaya, Ishraq Reefat, Hasin, Anoruo, Mike   +4 more
core   +1 more source

Real Time Credit Card Fraud Detection

, 2023
The most common electronic payment method is a credit card, which is more susceptible to fraud due to the volume of daily electronic transactions that are taking place. Card fraud has cost credit card firms a lot of money.
Nandini Mahapatra Ajeenkya, Mandar Gangurde Ajeenkya, Preeti Chhabaria Ajeenkya   +2 more
core   +1 more source

Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms

IEEE Access, 2022
People can use credit cards for online transactions as it provides an efficient and easy-to-use facility. With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced.
Fawaz Khaled Alarfaj, Iqra Malik, Hikmat Ullah Khan, Naif Almusallam, Muhammad Ramzan, Muzamil Ahmed   +5 more
doaj   +1 more source

Investigating the effectiveness of one-class and binary classification for fraud detection

Journal of Big Data, 2023
Research into machine learning methods for fraud detection is of paramount importance, largely due to the substantial financial implications associated with fraudulent activities. Our investigation is centered around the Credit Card Fraud Dataset and the
Joffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh   +3 more
doaj   +1 more source

A Credit Card Fraud Detection Method Based on Mahalanobis Distance Hybrid Sampling and Random Forest Algorithm

IEEE Access
Currently, the continuous expansion of the credit card business and the increasingly fierce competition have made all kinds of fraud risks in the overall credit card business the biggest threat.
Zhichao Xie, Xuan Huang
doaj   +1 more source

A Hybrid Simulated Annealing and Back-propagation Algorithm for Feed-forward Neural Network to Detect Credit Card Fraud

UHD Journal of Science and Technology, 2017
Due to the ascent and fast development of E-commerce, utilization of credit cards for online buys has significantly expanded, and it brought about a blast in the credit card fraud.
Ardalan Husin Awlla
doaj   +1 more source

A Neural Network Ensemble With Feature Engineering for Improved Credit Card Fraud Detection

IEEE Access, 2022
Recent advancements in electronic commerce and communication systems have significantly increased the use of credit cards for both online and regular transactions.
Ebenezer Esenogho, Ibomoiye Domor Mienye, Theo G. Swart, Kehinde Aruleba, George Obaido   +4 more
doaj   +1 more source

Performance Evaluation of Machine Learning Methods for Credit Card Fraud Detection Using SMOTE and AdaBoost

IEEE Access, 2021
The advance in technologies such as e-commerce and financial technology (FinTech) applications have sparked an increase in the number of online card transactions that occur on a daily basis.
Emmanuel Ileberi, Yanxia Sun, Zenghui Wang   +2 more
doaj   +1 more source

Credit Card Fraud Detection using Classification Algorithm

, 2023
It is crucial for credit card issuers to be aware of unauthorized credit card sales so that clients aren’t billed for things they didn't buy. Mechanical learning cannot be skipped in dealing such issues due to its relevance and the use of data science ...
Gulame Ashraf (16024172), Sandeep Bhatia (16267082), Bharat Bhusan Naib (16267076)   +2 more
core   +1 more source