ABSTRACT As smartphones and GPS-enabled devices proliferate, location-based services become all the more important in social networking, mobile applications ...
In this talk, we examine big data processing techniques over frequently updated locations and trajectories of moving objects. Indeed, the big data issues ...
Data are generated at an exponential rate all over the world. Through advanced algorithms and analytics techniques, organizations can harness this data, ...
In this paper, we first discuss the relationships among the prevailing trajectory mining methods and then, classify the applications of trajectory data into ...
To utilize large scale trajectory data efficiently and effectively, cloud computing platforms, e.g., Microsoft Azure, are the most convenient and economic way.
Missing: Positional | Show results with:Positional
A New Approach to Reduce the Position Data of Moving Objects ...
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Nov 27, 2024 · In this study, an ANN-based Global Navigation Satellite System (GNSS) location data reduction approach was proposed. As GNSS location data ...
Trajectory data streams are huge amounts of data pertaining to time and position of moving objects. They are continuously generated by different sources ...
Missing: Big | Show results with:Big
The aim of this study is to fill this gap by proposing a reactive system based on distributed actors to manage big trajectory data.
Missing: Positional | Show results with:Positional
Oct 22, 2024 · In this paper, we have investigated the problem of distributed trajectory query processing based on the distance and frequent activities. The ...
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