Towards a Concept how the Structure of Time can Support the Visual Analytics Process

dc.contributor.authorLammarsch, T.en_US
dc.contributor.authorAigner, W.en_US
dc.contributor.authorBertone, A.en_US
dc.contributor.authorMiksch, S.en_US
dc.contributor.authorRind, A.en_US
dc.contributor.editorSilvia Miksch and Giuseppe Santuccien_US
dc.date.accessioned2014-01-27T15:55:54Z
dc.date.available2014-01-27T15:55:54Z
dc.date.issued2011en_US
dc.description.abstractThe primary goal of Visual Analytics (VA) is the close intertwinedness of human reasoning and automated methods. An important task for this goal is formulating a description for such a VA process. We propose the design of a VA process description that uses the inherent structure contained in time-oriented data as a way to improve the integration of human reasoning. This structure can, for example, be seen in the calendar aspect of time being composed of smaller granularities, like years and seasons. Domain experts strongly consider this structure in their reasoning, so VA needs to consider it, too.en_US
dc.description.seriesinformationEuroVA 2011: International Workshop on Visual Analyticsen_US
dc.identifier.isbn978-3-905673-82-1en_US
dc.identifier.urihttps://doi.org/10.2312/PE/EuroVAST/EuroVA11/009-012en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): Information Systems [H.1.1]: Models and Principles-Systems and Information Theory; Computing Methodologies [I.m]: Miscellaneous-en_US
dc.titleTowards a Concept how the Structure of Time can Support the Visual Analytics Processen_US
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