Distributed data mining in credit card fraud detection

The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary diagnostic quality: since only one financial transaction in a thousand…

Credit card fraud is a serious and growing problem. While predictive models for credit card fraud detection are in active use in practice, reported studies on the use of data mining approaches for credit card fraud detection are relatively few,…

The prevention of credit card fraud is an important ap- plication for prediction techniques. One major obstacle for using neural network training techniques is the high necessary diagnostic quality: Since only one financial transaction of a thousand…

Due to the rise and rapid growth of E-Commerce, use of credit cards for online purchases has dramatically increased and it caused an explosion in the credit card fraud. As credit card becomes the most popular mode of payment for both online as well…

By investigating historical data from customers of credit card in a commercial bank, this paper points out the possibility of use genetic algorithms in preventing credit card fraud and give support to bank in dealing with this kind of problem. We…

In this paper, we propose a model to detect credit card frauds that can occur in various payment channels. This model is designed to determine the suspicious degree of fraudulent merchant transactions. In our model, fuzzy expert system provides the…

Along with the great increase in credit card transactions, credit card fraud has become increasingly rampant in recent years. This study investigates the efficacy of applying classification models to credit card fraud detection problems. Three…

We apply five classification methods, neural nets (NN), Bayesian nets (BN), naive Bayes (NB), artificial immune systems (AIS) and decision trees (DT), to credit card fraud detection. For a fair comparison, we fine adjust the parameters for each…

In this study we undertook the credit card fraud detection problem of a bank and tried to improve the performance of an existing solution. In doing so, we did not undertake the typical objective of maximizing the number of correctly classified…

The problem of preprocessing transaction data for supervised fraud classification is considered. It is impractical to present an entire series of transactions to a fraud detection system, partly because of the very high dimensionality of such data…