Visualisation de données dynamiques et complexes : des séries temporelles hiérarchiques aux graphes multicouches

Erick Cuenca Pauta 1
1 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : The analysis of data that is increasingly complex, large and from different sources (e.g. internet, social medias, etc.) is a difficult task. However, it remains crucial for many fields of application. It implies, in order to extract knowledge, to better understand the nature of the data, its evolution or the many complex relationships it may contain. Information visualization is about visual and interactive representation methods to help a user to extract knowledge. The work presented in this document takes place in this context. At first, we are interested in the visualization of large hierarchical time series. After analyzing the different existing approaches, we present the MultiStream system for visualizing, exploring and comparing the evolution of the series organized into a hierarchical structure. We illustrate its use by two examples: emotions expressed in social media and the evolution of musical genres. In a second time, we tackle the problem of complex data modeled in the form of multilayer graphs (different types of edges can connect the nodes). More specifically, we are interested in the visual querying of large graphs and we present VERTIGo, a system which makes it possible to build queries, to launch them on a specific engine, to visualize/explore the results at different levels of details and to suggest new query extensions. We illustrate its use with a graph of co-authors from different communities.
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Submitted on : Friday, November 16, 2018 - 6:07:23 AM
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Erick Cuenca Pauta. Visualisation de données dynamiques et complexes : des séries temporelles hiérarchiques aux graphes multicouches. Informatique [cs]. Université Montpellier, 2018. Français. ⟨tel-01924462⟩

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