Authors: Erick Cuenca, Arnaud Sallaberry, Florence Ying Wang, Pascal Poncelet
Abstract: Multiple time series are present in many domains such as medicine, finance, and manufacturing for analytical purposes. When dealing with several time series scalability problem overcome. To solve this problem, multiple time series can be organized into a hierarchical structure. In this work, we introduce a Streamgraph-based approach to convey this hierarchical structure. Based on a focus+context technique, our visualization allows time series exploration at different granularities (e. g., from overview to details). A demo is available at advanse.lirmm.fr/hierarchical/.