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 …

Trajectory data allow the study of the behavior of moving objects, from humans to animals.
Wireless communication, mobile devices, and technologies such as Global Positioning …

The analysis of movements frequently requires more than just spatio-temporal data. Thus,
despite recent progresses in trajectory handling, there is still a gap between movement data …

As the analysis of big datasets in sports performance becomes a more entrenched part of
the sporting landscape, so the value of sport scientists and analysts with formal training in …

The interest in mobility data analysis has grown dramatically with the wide availability of
devices that track the position of moving objects. Mobility analysis can be applied, for …

Tracking multiple moving objects in real-time in a dynamic threat environment is an
important element in national security and surveillance system. It helps pinpoint and …

Recent research has pointed out the needs and advantages of the semantic enrichment of
movement data, a process where trajectories are partitioned into homogeneous segments …

Traditional trajectory clustering algorithms mostly cluster trajectories from the perspective of
temporal or spatial. However, trajectories with temporal and spatial similarity may be …

Business Intelligence is a technology for collecting, transforming, and presenting data for
analysis as a tool for supporting decision making. Business Intelligence using Data …

Nowadays, electronic museum guides have evolved to a point that can act as navigational
and informational devices in the museum context; thus they also enable the collection of …