Mining Spatio-Temporal Big Data for Urban Event Footprint Analytics
Abstract: With the development of smart devices and new business models, huge amounts of data with location and time information, such as GPS trajectories of vehicles and geo-tagged social media posts, have been generated and collected in our everyday urban lives. Patterns discovered from these Spatio-Temporal Big Data (STBD) could provide valuable guidance for important societal and business decision making. However, mining STBD poses significant research challenges due the complex nature of the hypothetical patterns and the associated high computational costs to discover them.
This talk presents an example of STBD mining techniques, namely, Urban Event Footprint Analytics (UEFA). UEFA is the process of detecting, characterizing, and forecasting the development of urban events in space and time, such as gatherings of large crowds. UEFA is of great importance to various urban applications including traffic management and public safety. The talk introduces my work on two aspects of UEFA based on large-scale trajectory data: (1) Early detection of gathering events with complex footprints, and (2) Forecasting the location of gathering events. Solutions including novel conceptual models of event footprints and scalable algorithms will be discussed. Case studies and simulations on real taxi GPS data as well as experiment results on computational costs are also discussed.
Biography: Dr. Xun Zhou is an Assistant Professor in the Department of Management Sciences at the University of Iowa. He is also part of the University of Iowa Informatics Cluster. He received a PhD degree in Computer Science from the University of Minnesota, Twin Cities in 2014. Dr. Zhou’s research interests include big data management and analytics, spatial and spatio-temporal data mining, and Geographic Information Systems (GIS). His research has been recognized with best paper awards and an honorable mention from four conferences and workshops. Dr. Zhou is a recipient of the NSF CRII Award (2016). He is a co-editor-in-chief of Springer’s Encyclopedia of GIS, 2nd Edition. Dr. Zhou serves as a poster co-chair of ACM SIGSPATIAL 2017-2018, and co-chaired two other workshops. He also served on the program committees of IEEE ICDM, ACM CIKM, ACM SIGSPATIAL, as well as a number of workshops.