Publikation: Interactive analysis of object group changes over time
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2011
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Visual feature space analysis SPP 1335
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EuroVA 2011 : international workshop on visual analytics. 2011. Available under: doi: 10.2312/PE/EuroVAST/EuroVA11/041-044
Zusammenfassung
The analysis of time-dependent data is an important task in various application domains. Often, the analyzed data objects belong to groups. The group memberships may stem from natural arrangements (e.g., animal herds), or may be constructed during analysis (e.g., by clustering). Group membership may change over time. Therefore, one important analytical aspect is to examine these changes (e.g., which herds change members and when). In this paper, we present a technique for visual analysis of group changes over time. We combine their visualization and automatic analysis. Interactive functions allow for tracking the data changes over time on group, set and individual level. We also consider added and removed objects (e.g., newly born or died animals). For large time series, automatic data analysis selects interesting time points and group changes for detailed examination. We apply our approach on the VAST 2008 challenge data set revealing new insights.
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EuroVA 2011, 31. Mai 2011, Bergen, Norway
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BREMM, Sebastian, Gennady ANDRIENKO, Natalia ANDRIENKO, Tobias SCHRECK, Tatiana von LANDESBERGER, 2011. Interactive analysis of object group changes over time. EuroVA 2011. Bergen, Norway, 31. Mai 2011. In: EuroVA 2011 : international workshop on visual analytics. 2011. Available under: doi: 10.2312/PE/EuroVAST/EuroVA11/041-044BibTex
@inproceedings{Bremm2011Inter-15227,
year={2011},
doi={10.2312/PE/EuroVAST/EuroVA11/041-044},
title={Interactive analysis of object group changes over time},
booktitle={EuroVA 2011 : international workshop on visual analytics},
author={Bremm, Sebastian and Andrienko, Gennady and Andrienko, Natalia and Schreck, Tobias and Landesberger, Tatiana von}
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<dcterms:abstract xml:lang="eng">The analysis of time-dependent data is an important task in various application domains. Often, the analyzed data objects belong to groups. The group memberships may stem from natural arrangements (e.g., animal herds), or may be constructed during analysis (e.g., by clustering). Group membership may change over time. Therefore, one important analytical aspect is to examine these changes (e.g., which herds change members and when). In this paper, we present a technique for visual analysis of group changes over time. We combine their visualization and automatic analysis. Interactive functions allow for tracking the data changes over time on group, set and individual level. We also consider added and removed objects (e.g., newly born or died animals). For large time series, automatic data analysis selects interesting time points and group changes for detailed examination. We apply our approach on the VAST 2008 challenge data set revealing new insights.</dcterms:abstract>
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