The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …

The increasing use of location-aware devices has led to an increasing availability of
trajectory data. As a result, researchers devoted their efforts to develo** analysis methods …

The growing popularity of location-based systems, allowing unknown/untrusted servers to
easily collect huge amounts of information regarding users' location, has recently started …

Destination prediction is an essential task for many emerging location based applications
such as recommending sightseeing places and targeted advertising based on destination. A …

Privacy preservation has recently received considerable attention for location-based mobile
services. In this paper, we present location-dependent attack resulting from continuous and …

Human mobility is a multidisciplinary field of physics and computer science and has drawn a
lot of attentions in recent years. Some representative models and prediction approaches …

The mainstream approach to protecting the privacy of mobile users in location-based
services (LBSs) is to alter (eg, perturb, hide, and so on) the users' actual locations in order to …

We address issues related to privacy protection in location-based services (LBS). Most
existing research in this field either requires a trusted third-party (anonymizer) or uses …

OpenStreetMap (OSM) data are widely used but their reliability is still variable. Many
contributors to OSM have not been trained in geography or surveying and consequently …

Human mobility is highly predictable. Individuals tend to only visit a few locations with high
frequency, and to move among them in a certain sequence reflecting their habits and daily …