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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/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Visualization
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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
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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
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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
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