Joint European Conference on Machine Learning and Knowledge Discovery in Databases

ECML PKDD 2015: Machine Learning and Knowledge Discovery in Databases pp 316-319 | Cite as

Real Time Detection and Tracking of Spatial Event Clusters

  • Natalia Andrienko
  • Gennady Andrienko
  • Georg Fuchs
  • Salvatore Rinzivillo
  • Hans-Dieter Betz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9286)

Abstract

We demonstrate a system of tools for real-time detection of significant clusters of spatial events and observing their evolution. The tools include an incremental stream clustering algorithm, interactive techniques for controlling its operation, a dynamic map display showing the current situation, and displays for investigating the cluster evolution (time line and space-time cube).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Natalia Andrienko
    • 1
    • 2
  • Gennady Andrienko
    • 1
    • 2
  • Georg Fuchs
    • 1
  • Salvatore Rinzivillo
    • 3
  • Hans-Dieter Betz
    • 4
  1. 1.Fraunhofer Institute IAISSankt AugustinGermany
  2. 2.City University LondonLondonUK
  3. 3.CNR ISTIPisaItaly
  4. 4.nowcast GmbHMunichGermany

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