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• W2163487757 abstract "Providing appropriate methods to facilitate the analysis of time-oriented data is a key issue in many application domains. In this paper, we focus on the unique role of the parameter time in the context of visually driven data analysis.We will discuss three major aspects — visualization, analysis, and the user. It will be illustrated that it is necessary to consider the characteristics of time when generating visual representations.For that purpose we take a look at different types of time and present visual examples. Integrating visual and analytical methods has become an increasingly important issue. Therefore, we present our experiences in temporal data abstraction, principal component analysis, and clustering of larger volumes of time-oriented data. The third main aspect we discuss is supporting user-centered visual analysis.We describe event-based visualization as a promising means to adapt the visualization pipeline to needs and tasks of users." @default.
• W2163487757 created "2016-06-24" @default.
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• W2163487757 date "2008-01-01" @default.
• W2163487757 modified "2023-10-05" @default.
• W2163487757 title "Visual Methods for Analyzing Time-Oriented Data" @default.
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• W2163487757 doi "https://doi.org/10.1109/tvcg.2007.70415" @default.
• W2163487757 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/17993701" @default.
• W2163487757 hasPublicationYear "2008" @default.
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