With the development of Chinese international trade, real-time processing systems based on
ship trajectory have been used to cluster trajectory in real-time, so that the hot zone …

Now days, there exist huge data resources such as transaction database, relational
database, data warehouse and other data systems all contain large amount of data …

Trajectory clustering is a hot research topic in spatiotemporal data mining. A whole trajectory
might be long and complex, so corner-based division and spatiotemporal properties-based …

In the era of big data, the development of satellite technology and Internet of Things has
produced a large amount of trajectory data. We can effectively understand and predict the …

In this paper, an adaptive hierarchical clustering method based on DBSCAN algorithm is
proposed to get information better from Automatic Identification System, and to be aware of …

It is a hotspot problem to quickly extract valuable information and knowledge hidden in the
complex, different types, fuzzy and huge amount of space-time trajectory data. In the space …

Trajectory data streams contain huge amounts of data pertaining to the time and position of
moving objects. It is crucial to extract useful information from this peculiar kind of data in …

Trajectory clustering algorithms analyze the movement trajectory of the target objects to
mine the potential movement trend, regularity, and behavioral patterns of the object …

In order to better mine information from the data of automatic identification system (AIS) and
scientifically perceive the water traffic situation, several common clustering algorithms, such …

High-quality ship trajectory clustering is an important fundament for learning meaningful
knowledge from massive historical trajectories, which are commonly extracted from the …