NODES 2023 – Preventing Payment Fraud in Realtime With Unsupervised Machine Learning

This session will delve into the mechanisms of preventing payment fraud in real-time at one of the most popular online gaming console companies, using unsupervised machine learning with Graph Data Science, and applying algorithms like Pagerank, Degree Centrality, and Weakly Connected Components. It will also showcase the visualization of results and the creation of workflows to automate crucial decisions, like denying payments.

Throughout the session, the discussion will encompass how the application was constructed using Neo4j, providing a hands-on view of the visualizations and actions. By attending this session, you’ll gain a deep understanding of applying machine learning and graph data science to detect and prevent payment fraud effectively in real time.

Slides: https://drive.google.com/file/d/1_ED8rzNOPcJtasV_yRbE_MvjU1pIaCJQ/view?usp=drive_link

#Advanced #GraphDataScience #ML#Visualization #Fraud Detection #FinancialServices
#Neo4j