Visual Analitycs manages billions of data records and, in such a case, pure Information Visualization reveals its limits in terms of expressivity and scalability. In this paper we deal with the critical issue of visual clutter reduction, presenting a general framework for analyzing and reducing clutter in infovis techniques. We detail our proposal using two running examples, i.e., 2D scatterplots and parallel coordinates. © 2009 by Knowledge Systems Institute Graduate School.
A methodological framework for automatic clutter reduction in Visual Analytics / Santucci, Giuseppe; Bertini, E.. - (2009), pp. 375-380. (Intervento presentato al convegno DMS 2009 tenutosi a San Francisco Bay, USA nel 10-12 September 2009).
A methodological framework for automatic clutter reduction in Visual Analytics
SANTUCCI, Giuseppe;
2009
Abstract
Visual Analitycs manages billions of data records and, in such a case, pure Information Visualization reveals its limits in terms of expressivity and scalability. In this paper we deal with the critical issue of visual clutter reduction, presenting a general framework for analyzing and reducing clutter in infovis techniques. We detail our proposal using two running examples, i.e., 2D scatterplots and parallel coordinates. © 2009 by Knowledge Systems Institute Graduate School.| File | Dimensione | Formato | |
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