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Tag Publications: use case

3 types of fraud graph analytics can help defeat

Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this post, we examine three types of fraud graph analytics can help investigators combat: insurance fraud, credit card fraud, VAT fraud.

Stolen credit cards and fraud detection with Neo4j

Have you ever had your credit card stolen? It is not an uncommon situation. If it happens to you and you’re lucky, your bank will end up paying for the operations made with the credit card. But what happens behind the scene? Do criminals get caught? In this post, we see how graph technology like […]

E-commerce fraud detection with graph technology

E-commerce fraud is growing quickly, creating new challenges in terms of prevention and detection.  The key element in the fight against fraud is now to draw on the connections within the data collected about customers, transactions and behaviors, to uncover fraudulent behaviors. In this post, we tell you how to conduct e-commerce fraud detection faster […]

Graph data visualisation for cyber-security threats analysis

 In this blog post, we will offer an overview on how to deal with Security information and event management/log management (SIEM/LM) data overflow. Let’s see how Linkurious’ advanced graph visualisation solution helps easily identify and investigate cyber-security threats. Switching to a data lake architecture is often a required first step for analysts who wish to use graph […]

Recommendation and graphs : an online dating use case

Graph technologies are very good for recommendation. It is no wonder that the biggest online dating websites are using it. We are going to see through a concrete example how to use graphs to find love with the Neo4j graph database. Online dating and graphs : a love story? In the last months a few […]