Because of the large amount of trajectory data produced by mobile devices, there is an
increasing need for mechanisms to extract knowledge from this data. Most existing works …

The collection of moving object data is becoming more and more common, and therefore
there is an increasing need for the efficient analysis and knowledge extraction of these data …

Mobile devices are becoming very popular in recent years, and large amounts of trajectory
data are generated by these devices. Trajectories left behind cars, humans, birds or other …

Trajectory data play a fundamental role to an increasing number of applications, such as
transportation management, urban planning and tourism. Trajectory data are normally …

Enormous quantities of trajectory data are collected from many sources, such as GPS
devices and mobile phones, as sequences of spatio‐temporal points. These data can be …

This article highlights an indoor navigation ontology for an indoor production environment.
The ontology focuses on the movement of production assets in an indoor environment, to …

This paper introduces a multi-objective algorithm based on genetic programming to extract
classification rules in databases composed of hybrid data, ie, regular (eg numerical, logical …

Many association rule‐mining algorithms have been proposed in the last few years. Their
main drawback is the huge amount of generated patterns. In spatial association rule mining …

The recent advances in technologies for mobile devices, like GPS and mobile phones, are
generating large amounts of a new kind of data: trajectories of moving objects. These data …

In geographic association rule mining many patterns are either redundant or contain well
known geographic domain associations explicitly represented in knowledge resources such …