Multi-Graph Anomaly Detection in Business Processes With Scalable Neural Architectures

Multi-Graph Anomaly Detection in Business Processes With Scalable Neural Architectures

Business Process Management (BPM) solutions are critical for organizational efficiency, but their potential remains limited by inadequate effectiveness in anomaly detection capabilities for real-world deployment. This study addresses key challenges in developing production-ready anomaly detection sy...

Full description

Bibliographic Details
Main Authors: Stanley Hsu, Ege Gulce, Teoman Berkay Ayaz, Alper Ozcan, Akhan Akbulut
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Anomaly detection
attention mechanisms
business process management
graph neural networks
transformers
gated recurrent unit
Online Access:https://ieeexplore.ieee.org/document/10898002/

Internet

https://ieeexplore.ieee.org/document/10898002/

Similar Items