Data mining technology is applied to fraud detection to establish the fraud detection model, describe the process of creating the fraud detection model, then establish data model with ID3 decision tree, and establish example of fraud detection model by using this model. As e-commerce sales continue to grow, the associated online fraud remains an attractive source of revenue for fraudsters. Thes...

Fraud detection is one of the ways to cope with damages associated with fraudulent activities that have become common due to the rapid development of the Internet and electronic business. There is a need to propose methods to detect fraud accurately and fast. To achieve to accuracy, fraud detection methods need to consider both kind of features, features based on user level and features based o...

During the last several years machine learning started to revolutionize many industrial fields by replacing human intellectual work with recent technologies. Machine learning has started to be used in financial sphere as well for predicting stock prices, detecting fraud actions etc. In this work, we are focusing on financial market risk classification, which is a part of fraud action detection ...

Fraud is increasing dramatically with the expansion of modern technology and the global superhighways of communication, resulting in the loss of billions of dollars worldwide each year. Although prevention technologies are the best way of reducing fraud, fraudsters are adaptive and, given time, will usually find ways to circumvent such measures. Methodologies for the detection of fraud are esse...

Older adults are disproportionately vulnerable to fraud, and federal agencies have speculated that excessive trust explains their greater vulnerability. Two studies, one behavioral and one using neuroimaging methodology, identified age differences in trust and their neural underpinnings. Older and younger adults rated faces high in trust cues similarly, but older adults perceived faces with cue...

The Covid-19 pandemic has impacted almost all socio-economic and business aspects. Changes in interaction patterns a decrease income lead to higher potential for fraud risk. Management needs take effective ways mitigate fraud, especially prevention as the most efficient strategy. This paper aims explore manage new challenges terms of risk related Fraud Triangle non-digital financing companies. ...

In the typical securities fraud class action under Rule 10b-5, the plaintiff class consists of buyers who seek damages equal to the difference between the price paid for the stock during the fraud period and the lower price that prevails after corrective disclosure. The argument here is that this claim is really an amalgam of direct and derivative claims and that the derivative claims should re...

The paper describes a continuous monitoring methodology in an environment with multiple cues indicative of fraud and errors. A case study describes an application by a restaurant franchisor on the monthly sales numbers reported by franchisees. The system scores each restaurant based on variables judged to be possible indicators of fraud or errors in the monthly sales reports. The variables are ...