Architecture Highlights
- CRISP-DM based Data Mining Process methodology
- Comprehensive Data Mining knowledge base capturing domain expertise
- Adaptive traffic control system with intelligent ML algorithms
- ML model lifecycle framework from data understanding through deployment
- Reproducibility standards and experiment tracking protocols