EuroVA16

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https://diglib.eg.org/handle/10.2312/15279

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Browsing EuroVA16 by Subject "Keywords"

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    Multigraph Visualization for Feature Classification of Brain Network Data
    (The Eurographics Association, 2016) Wang, Jiachen; Fang, Shiaofen; Li, Huang; Goñi, Joaquín; Saykin, Andrew J.; Shen, Li; Natalia Andrienko and Michael Sedlmair
    A Multigraph is a set of graphs with a common set of nodes but different sets of edges. Multigraph visualization has not received much attention so far. In this paper, we introduce a multigraph application in brain network data analysis that has a strong need for multigraph visualization. In this application, multigraph is used to represent brain connectome networks of multiple human subjects. A volumetric data set is constructed from the matrix representation of the multigraph. A volume visualization tool is then developed to assist the user to interactively and iteratively detect network features that may contribute to certain neurological conditions. We apply this technique to a brain connectome dataset for feature detection in the classification of Alzheimer's Disease (AD) patients. Preliminary results show significant improvements when interactively selected features are used.
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    A Visual Analytics System for Mobile Telecommunication Marketing Analysis
    (The Eurographics Association, 2016) Angelini, Marco; Corriero, Rocco; Franceschi, Fabrizio; Geymonat, Marina; Mirabelli, Mario; Remondino, Chiara; Santucci, Giuseppe; Stabellini, Barbara; Natalia Andrienko and Michael Sedlmair
    The Mobile Operators European market is likely one of the most competitive arenas, and even big telecommunication companies are continuously tuning their marketing strategies to contrast the aggressive campaigns of old and new competitors. This paper presents a visual analytics solution developed for supporting one of the decision making processes of TIM (Telecom Italia Group), the biggest Italian provider of telecommunications services with over 30M active mobile subscribers (at September 2014). The proposed system uses information coming from both public open data and internal TIM data, mapping them on the Italian hierarchy of 20 regions and 110 provinces. The system has been designed together with TIM analysts and allows for selecting an optimal set of provinces on which to focus marketing campaigns, according to the campaign goals, the available market, the local economy, the actual traffic, and the actual TIM penetration.