Real Time Detection and Tracking of Spatial Event Clusters
Andrienko, N., Andrienko, G., Fuchs, G. , Rinzivillo, S. & 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
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).
| Publication Type: | Article |
|---|---|
| Additional Information: | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-23461-8_38 |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Departments: | School of Science & Technology > Computer Science School of Science & Technology > Computer Science > giCentre |
| SWORD Depositor: |
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