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).

Real Time Detection and Tracking of Spatial Event Clusters

Rinzivillo S;
2015

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).
2015
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
Albert Bifet et al...
Machine Learning and Knowledge Discovery in Databases. European Conference
9286
316
319
4
978-3-319-23460-1
http://link.springer.com/chapter/10.1007/978-3-319-23461-8_38
Sì, ma tipo non specificato
07-11/09/2015
Porto, Potugal
Clustering
Event detection
Progetto Bringing CItizens, Models and Data together in Participatory, Interactive SociaL EXploratories - Acronimo CIMPLEX - Grant agreement641191 - Tipo Progetto EU_FP7
1
partially_open
Andrienko N.; Andrienko G.; Fuchs G.; Rinzivillo S.; Betz H.D.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
   Bringing CItizens, Models and Data together in Participatory, Interactive SociaL EXploratories
   CIMPLEX
   H2020
   641191
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/310478
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