The increment of computer technology use and the continued growth of companies have
enabled most financial transactions to be performed through the electronic commerce …

Financial fraud is an issue with far reaching consequences in the finance industry,
government, corporate sectors, and for ordinary consumers. Increasing dependence on new …

With the rapid growth of financial services, fraud detection has been a very important
problem to guarantee a healthy environment for both users and providers. Conventional …

Automobile insurance fraud represents a pivotal percentage of property insurance
companies' costs and affects the companies' pricing strategies and social economic benefits …

Financial statement fraud has been serious concern for investors, audit firms, government
regulators, and other capital market stakeholders. Intelligent financial statement fraud …

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 …

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 …

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 …

Explainable Artificial Intelligence (XAI) models allow for a more transparent and
understandable relationship between humans and machines. The insurance industry …

Purpose The purpose of this paper is to survey the automobile insurance fraud detection
literature in the past 31 years (1990–2021) and present a research agenda that addresses …