Bringing semantics to spatiotemporal data mining: Challenges, methods, and applications

Chao Zhang, Quan Yuan, Jiawei Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The pervasiveness of GPS-equipped mobile devices has been nurturing an unprecedented amount of semanticsrich spatiotemporal data. The confluence of spatiotemporal and semantic information offers new opportunities for extracting valuable knowledge about people's behaviors, but meanwhile also introduces its unique challenges that render conventional spatiotemporal data mining techniques inadequate. Consequently, mining semantics-rich spatiotemporal data has attracted significant research attention from the data mining community in the past few years. In this tutorial, we start with reviewing classic spatiotemporal data mining tasks and identifying the new opportunities introduced by semantics-rich spatiotemporal data. Subsequently, we provide a comprehensive introduction of existing techniques for mining semantics-rich spatiotemporal data, covering topics including spatiotemporal activity mining, spatiotemporal event discovery, and spatiotemporal mobility modeling. Finally, we discuss about the limitations of existing research and identify several important future directions.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017
PublisherIEEE Computer Society
Pages1455-1458
Number of pages4
ISBN (Electronic)9781509065431
DOIs
StatePublished - May 16 2017
Event33rd IEEE International Conference on Data Engineering, ICDE 2017 - San Diego, United States
Duration: Apr 19 2017Apr 22 2017

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other33rd IEEE International Conference on Data Engineering, ICDE 2017
CountryUnited States
CitySan Diego
Period4/19/174/22/17

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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  • Cite this

    Zhang, C., Yuan, Q., & Han, J. (2017). Bringing semantics to spatiotemporal data mining: Challenges, methods, and applications. In Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017 (pp. 1455-1458). [7930108] (Proceedings - International Conference on Data Engineering). IEEE Computer Society. https://doi.org/10.1109/ICDE.2017.210