GeoLife: Building Social Networks Using Human Location History - Microsoft Research
GeoLife is a location-based social-networking service, which enables users to share life experiences and build connections among each other using human location history. Dr. Yu Zheng started this project in 2007 with his team. Application Scenarios GeoLife enables user to share travel experience using GPS trajectories. By mining multiple users’ location histories, GeoLife can discover the top most
Location-Based Social Networks - Microsoft Research
The dimension of location brings social networks back to reality, bridging the gap between the physical world and online social networking services. In this project, we introduce and define the meaning of location-based social network (LBSN) and discuss the research philosophy behind LBSNs from the perspective of users and locations. News The 4th International Workshop on Location-Based Social Net
Computing with Spatial Trajectories - Microsoft Research
Editor: Yu Zheng, Xiaofang Zhou Foreword by Jiawei Han Editorial board: Ralf Hartmut Güting, Hans-Peter Kriegel, Hanan Samet [Order it on Amazon] [Buy it from Springer] [Preview this book (Outline and Preface)] With the rapid development of wireless communication and mobile computing technologies and global positioning and navigational systems, spatial trajectory data has been mounting up, calling
Trajectory Analysis
Hirokatsu KATAOKA, Ph.D. National Institute of Advanced Industrial Science and Technology (AIST), Japan "Big Data Analysis for Trajectory Clustering" Hirokatsu Kataoka (Keio Univ), Kenji Iwata (AIST), Yutaka Satoh (AIST), Masaki Onishi (AIST), Yoshimitsu Aoki (Keio Univ) We're accumulating trajectory data for many services (e.g. crowded analysis and tendency understanding). Now we have more than 5
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Trajectory Data Mining - Microsoft Research
Inferring transient particle transport dynamics in live cells - Nature Methods
http://arxiv.org/pdf/1501.00614
