Spatiotemporal Data Mining

Spatiotemporal Data Mining focuses on extracting knowledge and patterns from massive datasets with temporal and spatial dimensions, particularly large-scale trajectory data from moving objects. It involves developing machine learning-based modeling frameworks and computational paradigms to tackle real-world challenges in downstream spatiotemporal applications.