AnomalyNet is a framework for anomaly detection in business processes using graph neural networks (GNN) as a module of the Next4biz BPM platform. Leveraging of business process graphs stored on our Neo4j graph database enhances the efficiency of identifying process deviations and optimizing operations.

In this session, the attendees will explore an anomaly detection study done on business event logs from real-life business processes. Participants will gain insights into advanced anomaly detection techniques and benefits of leveraging graph data structure. By attending, you will learn how you can leverage the power of graphs when working with business process data.

With Teoman Berkay Ayaz

Get certified with GraphAcademy: https://dev.neo4j.com/learngraph
Neo4j AuraDB https://dev.neo4j.com/auradb
Knowledge Graph Builder https://dev.neo4j.com/KGBuilder
Neo4j GenAI https://dev.neo4j.com/graphrag