Clustering is an efficient way to group data into different classes on basis of the internal and
previously unknown schemes inherent of the data. With the development of the location …

Focus on movement data has increased as a consequence of the larger availability of such
data due to current GPS, GSM, RFID, and sensors techniques. In parallel, interest in …

Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …

In this work, we present an interactive system for visual analysis of urban traffic congestion
based on GPS trajectories. For these trajectories we develop strategies to extract and derive …

An increase in the size of data repositories of spatiotemporal data has opened up new
challenges in the fields of spatiotemporal data analysis and data mining. Foremost among …

Vehicles equipped with GPS localizers are an important sensory device for examining
people's movements and activities. Taxis equipped with GPS localizers serve the …

In this paper, we present a unified approach for abnormal behavior detection and group
behavior analysis in video scenes. Existing approaches for abnormal behavior detection do …

With the large-scale adoption of GPS equipped mobile sensing devices, positional data
generated by moving objects (eg, vehicles, people, animals) are being easily collected …

Spatio-temporal clustering is a process of grou** objects based on their spatial and
temporal similarity. It is relatively new subfield of data mining which gained high popularity …

The rapid spread of location-based devices and cheap storage mechanisms, as well as fast
development of Internet technology, allowed collection and distribution of huge amounts of …