We propose a model for clustering data with spatiotemporal intervals, which is a type of spatiotemporal data associated with a start- and an end-point. This model can be used to effectively evaluat

On-ground aircraft trajectory information plays a key role in airport situations awareness prediction and management. Airport administration needs to arrange and schedule the time and order of ai

On-ground aircraft trajectory information plays a key role in airport situations awareness prediction and management. Airport administration needs to arrange and schedule the time and order of ai

This paper presents a method to automatically estimate parameters for density-based clustering based on data distribution. It also includes several techniques for visualizing the clusters over a