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InfoQ Homepage Presentations Real-Time Fraud Detection with Graphs

Real-Time Fraud Detection with Graphs



Jim Webber talks about several kinds of fraud common in financial services and how each naturally decomposes into a straightforward graph use-case. To demonstrate the power of connected data, he explores use-cases using Neo4j and the (now open standard) Cypher query language to showcase just how performant, pleasant and powerful graphs can be, and how the fraudsters need to beware.


Jim Webber is Chief Scientist with Neo Technology, the company behind open source graph database Neo4j, where he works on graph database server technology and writes open source software. He is interested in using big graphs like the Web for building distributed systems. He is the author of Developing Enterprise Web Services - An Architect's Guide and a co-author on the book REST in Practice.

About the conference

Software is Changing the World. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

Recorded at:

Mar 29, 2016