Description: Fraud is often a dynamic and challenging problem in credit card lending business. Supervised modeling/segmentation techniques are commonly used in fraud detection to distinguish risky transactions from non-risky transactions. However, these techniques frequently rely on identifying risky behavior at a global level. In this paper, along with the classical approach, a new technique has been studied to improve the behavioral fraud detection capability. The application of this proposed technique enables us to identify risky behavior at the account level.

Description: This paper examines the social structures that are determining retirement for female Baby Boomers, and what can be done for these women to reflect the shift from shared responsibility to individual responsibility for retirement security. From Retirement Needs Framework, M-RS00-1.