We study the impact of network information for social security fraud detection. In a social
security system, companies have to pay taxes to the government. This study aims to identify …

Insurance fraud occurs when policyholders file claims that are exaggerated or based on
intentional damages. This contribution develops a fraud detection strategy by extracting …

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using
Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for …

Global card fraud losses amounted to 16.31 Billion US dollars in 2014 [18]. To recover this
huge amount, automated Fraud Detection Systems (FDS) are used to deny a transaction …

Financial fraud, such as money laundering, is known to be a serious process of crime that
makes illegitimately obtained funds go to terrorism or other criminal activity. This kind of …

Fraudulent claim detection is one of the greatest challenges the insurance industry faces.
Alibaba's return-freight insurance, providing return-shipping postage compensations over …

Call it a 'scam','rip-off','cheat'or 'sting', but whatever you call it the impact of fraud hits
businesses equally hard. And the bad news is that the number of fraud cases is not falling …

This research explores the opportunities for the application of network analytic techniques to
prevent money laundering. We worked on real world data by analyzing the central database …

Corporate fraud can lead to significant financial losses and cause immeasurable damage to
investor confidence and the overall economy. Detection of such frauds is a time-consuming …

The supplier-customer relationships in the supply chain reflect the transaction activities
between companies, which can also imply the relationships across the financial data …