The great losses caused by financial fraud have attracted continuous attention from
academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus …

This paper presents a review of—and classification scheme for—the literature on the
application of data mining techniques for the detection of financial fraud. Although financial …

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 …

Financial fraud presents more and more threat that has serious consequences in the
financial sector. As a result, financial institutions are forced to continually im-prove their fraud …

This study examines the role of financial socialization, financial knowledge, and receiving
financial education on student loan repayment behaviors and related financial stress, as …

As a successful ensemble method, Random Forest has attracted much attention. In this
paper, individual classifiers are appropriately combined and a multiple classifier system with …

Objective: Financial fraud has been a big concern for many organizations across industries;
billions of dollars are lost yearly because of this fraud. So businesses employ data mining …

Timely detection of fraudulent credit card transactions is a business critical and challenging
problem in Financial Industry. Specifically, we must deal with the highly skewed nature of the …

Credit card fraud costs consumers and the financial industry billions of dollars annually.
However, there is a dearth of published literature on credit card fraud detection. In this study …

Prosocial crowdfunding was originally conceived as a financial mechanism to assist
vulnerable unbanked populations, typically excluded from formal financial markets. It …