Assessing interventions for mobility disorders using real-life movement remains an unsolved
problem. We propose a new method combining the strengths of traditional laboratory studies …

In this paper, we aim at the product promotion in O2O model and carry out the research of
location-based influence maximization on the platform of LBSN. As offline consuming …

Recent development of internet and its applications has become the source for research in
service recommendation. Among them, point of interest (POI) recommendation based on …

In this work, a deep Gaussian process (DGP) based framework is proposed to improve the
accuracy of predicting flight trajectory in air traffic research, which is further applied to …

Trajectory data is central to many applications with moving objects. Raw trajectory data is
usually very large, and so is simplified before it is stored and processed. Many trajectory …

The discovery of regions of interest in large cities is an important challenge. We propose and
investigate a novel query called the path nearby cluster (PNC) query that finds regions of …

Due to the proliferation of GPS-enabled devices in vehicles or with people, large amounts of
position data are recorded every day and the management of such mobility data, also called …

Studying human movement citywide is important for understanding mobility and
transportation patterns. Rather than investigating the trajectories of individuals, we employ …

Übertragen, Speichern und Prozessieren gelten als die drei zentralen Medienfunktionen.›
Übertragen‹ meint die Fähigkeit der Medien, räumliche Distanzen zu überwinden. Das› …

Abstract Location-based Social Networks (LBSNs) can be considered as a special Online
Social Network (OSN) category. Actually, an LBSN has the same OSN's properties, but …