Compliance-Aware Predictive Process Monitoring: A Neuro-Symbolic Approach

1. 1Identify domain-specific process constraints and formalize them using logical rules
2. 2Integrate these rules into a neural network architecture to create a neuro-symbolic model
3. 3Train the model on historical data to learn correlations between features and target outcomes
4. 4Use the model to predict process outcomes and ensure compliance with domain constraints

Data scientists and process analysts on a team can benefit from this approach as it enables them to incorporate domain knowledge into predictive models, improving compliance and accuracy

💡 Incorporating domain-specific process constraints into predictive models can improve compliance and accuracy

🚀 Neuro-symbolic approach for predictive process monitoring! Incorporate domain knowledge into models for improved compliance & accuracy