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Joris Sansen, Gaëlle Richer, Timothée Jourde, Frédéric Lalanne, David Auber and Romain Bourqui
The increase of data collection in various domains calls for an adaptation of methods of visualization to tackle magnitudes exceeding the number of available pixels on screens and challenging interactivity. This growth of datasets size has been supported...
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Peng Mi, Maoyuan Sun, Moeti Masiane, Yong Cao and Chris North
This paper presents the Animated VISualization Tool (AVIST), an exploration-oriented data visualization tool that enables rapidly exploring and filtering large time series multidimensional datasets. AVIST highlights interactive data exploration by reveal...
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Xiaohui Huang, Junqing Fan, Ze Deng, Jining Yan, Jiabao Li and Lizhe Wang
Multi-source Internet of Things (IoT) data, archived in institutions? repositories, are becoming more and more widely open-sourced to make them publicly accessed by scientists, developers, and decision makers via web services to promote researches on geo...
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Boris Kovalerchuk and Dmytro Dovhalets
The exploration of multidimensional datasets of all possible sizes and dimensions is a long-standing challenge in knowledge discovery, machine learning, and visualization. While multiple efficient visualization methods for n-D data analysis exist, the lo...
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