Graphs for people and transactions with an eye to fraud

Graph databases seem to lend themselves to modeling people and their interactions and relationships. You tend to see them used in Customer 360 type systems. Let's walk through how a Graph Database might be applied to identifying coupling between fraud incidents.


A person and their transactions

This is an incomplete model for discussion purposes

Overlapping people and transactions

Coalescing People 


Popular posts from this blog

Understanding your WSL2 RAM and swap - Changing the default 50%-25%

Installing the RNDIS driver on Windows 11 to use USB Raspberry Pi as network attached

DNS for Azure Point to Site (P2S) VPN - getting the internal IPs