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Early classification of spatio-temporal events using partial information

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  • Sevvandi Kandanaarachchi
  • Rob J Hyndman
  • Kate Smith-Miles

Abstract

This paper investigates event extraction and early event classification in contiguous spatio-temporal data streams, where events need to be classified using partial information, i.e. while the event is ongoing. The framework incorporates an event extraction algorithm and an early event classification algorithm. We apply this framework to synthetic and real problems and demonstrate its reliability and broad applicability. The algorithms and data are available in the R package eventstream, and other code in the supplementary material.

Suggested Citation

  • Sevvandi Kandanaarachchi & Rob J Hyndman & Kate Smith-Miles, 2020. "Early classification of spatio-temporal events using partial information," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-39, August.
    • Handle: RePEc:plo:pone00:0236331
    DOI: 10.1371/journal.pone.0236331
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    References listed on IDEAS

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