Predictive spatio-temporal queries: a comprehensive survey and future directions

  • Authors:
  • Abdeltawab M. Hendawi;Mohamed F. Mokbel

  • Affiliations:
  • University of Minnesota, Minneapolis, MN;University of Minnesota, Minneapolis, MN

  • Venue:
  • Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
  • Year:
  • 2012

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Abstract

Predictive queries over spatio-temporal data proved to be vital in many location-based services including traffic management, ride sharing, and advertising. In the last few years, one of the most exciting work on spatio-temporal data management is about predictive queries. In this paper, we review the current research trends and present their related applications in the field of predictive spatio-temporal queries processing. Then, we discuss some basic challenges arising from new opportunities and open problems. The goal of this paper is to catch the interesting areas and future work under the umbrella of predictive queries over spatio-temporal data.