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dc.contributor.author
Cibulski, Lena  
dc.contributor.author
Gračanin, Denis  
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Diehl, Alexandra  
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Splechtna, Rainer  
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Elshehaly, Mai  
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Delrieux, Claudio Augusto  
dc.contributor.author
Matković, Krešimir  
dc.date.available
2018-06-12T18:46:07Z  
dc.date.issued
2016-06-10  
dc.identifier.citation
Cibulski, 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.identifier.issn
0178-2789  
dc.identifier.uri
http://hdl.handle.net/11336/48393  
dc.description.abstract
Widespread 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.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Visualization  
dc.subject
Trajectory Data  
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Interactive Visual Analysis  
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Movement Data  
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Spatio-Temporal Data  
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Coordinated Multiple Views  
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Ciencias de la Computación  
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Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
ITEA—interactive trajectories and events analysis: exploring sequences of spatio-temporal events in movement data  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-06-07T16:11:58Z  
dc.identifier.eissn
1432-2315  
dc.journal.volume
32  
dc.journal.number
6-8  
dc.journal.pagination
847-857  
dc.journal.pais
Alemania  
dc.journal.ciudad
Berlín  
dc.description.fil
Fil: Cibulski, Lena. Zentrum für Virtual Reality und Visualisierung; Austria. University of Magdeburg; Alemania  
dc.description.fil
Fil: Gračanin, Denis. Virginia Tech University; Estados Unidos  
dc.description.fil
Fil: Diehl, Alexandra. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina  
dc.description.fil
Fil: Splechtna, Rainer. Zentrum für Virtual Reality und Visualisierung; Austria  
dc.description.fil
Fil: Elshehaly, Mai. University of Maryland; Estados Unidos  
dc.description.fil
Fil: Delrieux, Claudio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur; Argentina  
dc.description.fil
Fil: Matković, Krešimir. Zentrum für Virtual Reality und Visualisierung; Austria  
dc.journal.title
Visual Computer  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s00371-016-1255-7  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s00371-016-1255-7