1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchYu Zhenghttps://www.microsoft.com/en-us/research/people/yuzheng/Managing Massive Trajectories on the Cloud - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="iszg6RvNKJ"><a href="https://www.microsoft.com/en-us/research/publication/managing-massive-trajectories-cloud/">Managing Massive Trajectories on the Cloud</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/managing-massive-trajectories-cloud/embed/#?secret=iszg6RvNKJ" width="600" height="338" title="“Managing Massive Trajectories on the Cloud” — Microsoft Research" data-secret="iszg6RvNKJ" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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With the advances in location-acquisition techniques, such as GPS-embedded phones, enormous volume of trajectory data is generated, by people, vehicles, and animals. These trajectory data is one of the most important data sources in many urban computing applications, e.g., the traffic modeling, the user profiling analysis, the air quality inference, and the resource allocation. To […]https://www.microsoft.com/en-us/research/wp-content/uploads/2016/09/framework_trajectory_Cloud-1024x456.png