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Trajectory data mining: an overview
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 …
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …
A survey on trajectory data management, analytics, and learning
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 the availability and collection of urban trajectory data, thus increasing the demand for …
Urban computing: concepts, methodologies, and applications
Urbanization's rapid progress has modernized many people's lives but also engendered big
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …
A graph-based approach for trajectory similarity computation in spatial networks
Trajectory similarity computation is an essential operation in many applications of spatial
data analysis. In this paper, we study the problem of trajectory similarity computation over …
data analysis. In this paper, we study the problem of trajectory similarity computation over …
[PDF][PDF] GeoLife: A collaborative social networking service among user, location and trajectory.
People travel in the real world and leave their location history in a form of trajectories. These
trajectories do not only connect locations in the physical world but also bridge the gap …
trajectories do not only connect locations in the physical world but also bridge the gap …
A survey on trajectory data mining: Techniques and applications
Rapid advance of location acquisition technologies boosts the generation of trajectory data,
which track the traces of moving objects. A trajectory is typically represented by a sequence …
which track the traces of moving objects. A trajectory is typically represented by a sequence …
[PDF][PDF] Identifying Human Mobility via Trajectory Embeddings.
Understanding human trajectory patterns is an important task in many location based social
networks (LBSNs) applications, such as personalized recommendation and preference …
networks (LBSNs) applications, such as personalized recommendation and preference …
Recommending friends and locations based on individual location history
The increasing availability of location-acquisition technologies (GPS, GSM networks, etc.)
enables people to log the location histories with spatio-temporal data. Such real-world …
enables people to log the location histories with spatio-temporal data. Such real-world …
Constructing popular routes from uncertain trajectories
The advances in location-acquisition technologies have led to a myriad of spatial
trajectories. These trajectories are usually generated at a low or an irregular frequency due …
trajectories. These trajectories are usually generated at a low or an irregular frequency due …
Discovering popular routes from trajectories
The booming industry of location-based services has accumulated a huge collection of
users' location trajectories of driving, cycling, hiking, etc. In this work, we investigate the …
users' location trajectories of driving, cycling, hiking, etc. In this work, we investigate the …