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Real Time Detection and Tracking of Spatial Event Clusters

Andrienko, N., Andrienko, G., Fuchs, G., Rinzivillo, S. and Betz, H-D. (2015). Real Time Detection and Tracking of Spatial Event Clusters. Lecture Notes in Computer Science, 9286, pp. 316-319. doi: 10.1007/978-3-319-23461-8_38


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).

Publication Type: Article
Additional Information: The final publication is available at Springer via
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Mathematics, Computer Science & Engineering > Computer Science
Text - Accepted Version
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