Academic Report

TopicMaking Sense of Trajectory Data          

SpeakerProfessor Xiao fang Zhou              

AbstractTrajectory data records the time and positions of moving objects such as vehicles, people and animals. Wide availability of trajectory data due to the proliferation of GPS-enabled mobile devices, combined with easy access to digital maps and emerging computing platforms such as cloud computing, makes many novel data-driven, location-based applications possible. Existing data management technologies, however, cannot properly handle trajectory data due to their sheer volume, high complexity, streaming nature and intrinsic uncertainty. In this talk we will discuss key issues in providing efficient and effective ways of capturing, storing, searching and using large scale trajectory data.

PresiderProf. LU Feng

Time9:00-10:30 AM Jan.12, 2011

 VenueRoom 2421, IGSNRR

Breif Introduction to the speaker

 Xiao fang Zhou is a Professor of Computer Science at the University of Queensland. He is the Head of the Data and Knowledge Engineering Research Division at UQ, the Convenor and Director of ARC Research Network in Enterprise Information Infrastructure, and the founding chair of ACM SIGSPATIAL Australian Chapter.

Further information about him can be found at http://archive.itee.uq.edu.au/~zxf/.

Hosted by Key Laboratory of Water Cycle and Related Land Surface Processes 


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