dc.creatorCibulski, Lena
dc.creatorGračanin, Denis
dc.creatorDiehl, Alexandra
dc.creatorSplechtna, Rainer
dc.creatorElshehaly, Mai
dc.creatorDelrieux, Claudio Augusto
dc.creatorMatković, Krešimir
dc.date.accessioned2018-06-12T18:46:07Z
dc.date.accessioned2018-11-06T14:20:40Z
dc.date.available2018-06-12T18:46:07Z
dc.date.available2018-11-06T14:20:40Z
dc.date.created2018-06-12T18:46:07Z
dc.date.issued2016-06-10
dc.identifierCibulski, Lena; Gračanin, Denis; Diehl, Alexandra; Splechtna, Rainer; Elshehaly, Mai; et al.; ITEA—interactive trajectories and events analysis: exploring sequences of spatio-temporal events in movement data; Springer; Visual Computer; 32; 6-8; 10-6-2016; 847-857
dc.identifier0178-2789
dc.identifierhttp://hdl.handle.net/11336/48393
dc.identifier1432-2315
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1885409
dc.description.abstractWidespread use of GPS and similar technologies makes it possible to collect extensive amounts of trajectory data. These data sets are essential for reasonable decision making in various application domains. Additional information, such as events taking place along a trajectory, makes data analysis challenging, due to data size and complexity. We present an integrated solution for interactive visual analysis and exploration of events along trajectories data. Our approach supports analysis of event sequences at three different levels of abstraction, namely spatial, temporal, and events themselves. Customized views as well as standard views are combined to form a coordinated multiple views system. In addition to trajectories and events, we include on-the-fly derived data in the analysis. We evaluate our integrated solution using the IEEE VAST 2015 Challenge data set. A successful detection and characterization of malicious activity indicate the usefulness and efficiency of the presented approach.
dc.languageeng
dc.publisherSpringer
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s00371-016-1255-7
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s00371-016-1255-7
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectVisualization
dc.subjectTrajectory Data
dc.subjectInteractive visual analysis
dc.subjectMovement data
dc.subjectSpatio-temporal data
dc.subjectCoordinated multiple views
dc.titleITEA—interactive trajectories and events analysis: exploring sequences of spatio-temporal events in movement data
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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