Makina öğrenme metodoloji̇si̇ kullanilan kredi̇ karti meyve algilama

In USA,credit card fraud occurrences rose sharply in 1998 causing SI47 million in losses. To address this problem,financial institutions (FIs) are employing preventive measures and fraud.detection systems one of which is called DS. Although FDS has shown good results in reducing fraud, the majority of cases being flagged by this system are False Positives resulting in sub-stantial investigation costs and cardholder inconvenience.The possibilities of enhancing the current operation by introducing a post processing system constitute the objective of this research.The data used for the analysis was provided by one of the major Canadian banks Based on variations and combinations of features and training class distributions,different sets of experiments were performed to explore the influence of these parameters on the performance of The prototype developed. The results indicate that the employed approach has a very good potential to improve on the existing system.However further research is required including the development of prototype systems which should be enhanced by more extensive and informative data