Title: Deriving Values from Spatial Trajectories
Abstract: Spatial trajectory data is widely available today. Over a sustained
period of time, trajectory data has been collected from numerous GPS
devices, smartphones, sensors and social media applications. How do we
manage them? What values can a business derive from them, and how? Due to their very large volumes, the nature of streaming itself, highly variable
levels of data quality, as well as many possible links with other types of data, making sense of spatial trajectory data is one of the crucial areas for big data analytics. In this
talk, we will introduce this increasingly important research area in the context of new
applications, new problems and new opportunities. We will discuss recent advances in
trajectory data management and trajectory mining, from their foundations to high performance
processing with modern computing infrastructures.
Professor Xiaofang Zhou is a Professor of Computer Science at The University of
Queensland, Australia, and a specially appointed Adjunct Professor under the Chinese
National Thousand Talents Program at Soochow University, China. He is Head of the
Data and Knowledge Engineering (DKE) Group at UQ, and Director of the Advanced
Data Analytics Laboratory at Soochow University. His research focus is to find effective and
efficient solutions for managing, integrating and analyzing very large amount of complex data
for business, scientific and personal applications. He has been working in the area of spatial
and multimedia databases, data quality, high performance database systems and data mining.
He was a Program Committee Chair for IEEE ICDE 2013, and a General Chair of ACM
Multimedia 2015. He has been an Associate Editor of The VLDB Journal, IEEE Transactions
on Knowledge and Data Engineering, IEEE Transactions on Cloud Computing, World Wide
Web Journal, Distributed and Parallel Databases, and IEEE Data Engineering Bulletin. He is
the current Chair of IEEE Technical Committee on Data Engineering (TCDE).