PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Andrienko N., Andrienko G., Fuchs G., Rinzivillo S., Betz H. Real time detection and tracking of spatial event clusters. In: ECML PKDD 2015 - Machine Learning and Knowledge Discovery in Databases. European Conference (Porto, Potugal, 7-11 September 2015). Proceedings, vol. III pp. 316 - 319. Albert Bifet et al... (eds.). (Lecture Notes in Artificial Intelligence, vol. 9286). Springer, 2015.
 
 
Abstract
(English)
We demonstrate a system of tools for real-time detection of signifi- cant clusters of spatial events and observing their evolution. The tools include an incremental stream clustering algorithm, interactive techniques for control- ling its operation, a dynamic map display showing the current situation, and displays for investigating the cluster evolution (time line and space-time cube).
URL: http://link.springer.com/chapter/10.1007/978-3-319-23461-8_38
DOI: 10.1007/978-3-319-23461-8_38
Subject Clustering
Event detection
H.2.8 Database Applications. Data Mining
68T01


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