Graph service platform

摘要

In earlier articles of this series, we covered the importance of graph networks, graph concepts, how graph visualisation makes fraud investigations easier and more effective, and how graphs for fraud detection work. In this article, we elaborate on the need for a graph service platform and how it works.

In the present age, data linkages can generate significant business value. Whether we want to learn about the relationships between users in online social networks, between users and products in e-commerce, or understand credit relationships in financial networks, the capability to understand and analyse large amounts of highly interrelated data is becoming more important to businesses.

As the amount of consumer data grows, the GrabDefence team must continuously enhance fraud detection on mobile devices to proactively identify the presence of fraudulent or malicious users. Even simple financial transactions between users must be monitored for transaction loops and money laundering. To preemptively detect such scenarios, we need a graph service platform to help discover data linkages.

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