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X-WR-CALNAME:Human-Computer Interaction & Visual Analytics Reasearch Department (vis) at Darmstadt University of Applied Sciences (h_da)
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SUMMARY:24rd International Conference Information Visualization (iV 2020)
DESCRIPTION:[av_font_icon icon=’ue81f’ font=’entypo-fontello’ style=” caption=” size=’40px’ position=’left’ color=’#87afff’ link=” linktarget=” animation=” id=” custom_class=” av_uid=” admin_preview_bg=”][/av_font_icon]    The event has been modified and is now organised virtual. Please note the new annouced event under Online @ iV2020! \n\n\n\n\nWe are co-organizing the International Symposium Visual Analytics and Data Science at the next International Information Visualisation Conference (iV 2020) in Vienna\, Austria. The Information Visualisation Conference (iV) is an international conference that aims to provide a foundation for integrating the human-centered\, technological and strategic aspects of information visualization to promote international exchange\, cooperation and development. \nThe scope of the conference covers the following topics: \n\nCombining visual and computational methods of Data Analysis\, Machine Learning and Artificial Intelligence\nVisual Analytics models and approaches\nNovel Visual Analytics applications\nVisual Trend Analytics\nVisual Analytics of spatial\, temporal\, and spatio-temporal data\nKnowledge construction and management in Visual Analytics\nGuidance in Visual Analytics\nIntelligent approaches of Visual Analytics and Data Science\nAdaptive Visual Analytics\nCognitive approaches and explanations for Visual Analytics\nVisual Analytics for explaining AI\nVisualization of Data Mining algorithms\nEmpirical performance studies\nEvaluation of Visual Data Mining methods\nCollaborative Visual\n\nPlease note the iV2020 Call for Papers (CfP). \n[av_hr class=’invisible’ height=’40’ shadow=’no-shadow’ position=’center’ custom_border=’av-border-thin’ custom_width=’50px’ custom_border_color=” custom_margin_top=’30px’ custom_margin_bottom=’30px’ icon_select=’yes’ custom_icon_color=” icon=’ue808′ font=’entypo-fontello’ av_uid=” id=” custom_class=” admin_preview_bg=”] \nThe Visual Analytics and Data Science track is organized via the 12th International Symposium Visual Analytics and Data Science.\nVisual Analytics is viewed as the science of analytical reasoning empowered by interactive visualizations. It combines interactive visualizations with models and approaches of machine learning and artificial intelligence\, enabling solving complex analytical tasks by uncovering hidden patterns in data.\nThe research on Visual Analytics is closely related to that of Data Science. Both areas seek to enhance the knowledge discovery process using machine learning\, data mining and artificial intelligence methods\, whereas Visual Analytics allows commonly a direct manipulation of the underlying models through graphical representations. By leveraging human perception of the visual space\, patterns that might not otherwise be discovered. Visual Analytics utilizes concepts from a wide variety of disciplines\, including Computer Graphics\, Information Visualization\, Machine Learning\, Artificial Intelligence\, Knowledge Discovery\, Cognition and Visual Perception. \nThe scope of the VA track covers the following topics: \n\nCombining visual and computational methods of Data Analysis\, Machine Learning and Artificial Intelligence\nVisual Analytics models and approaches\nNovel Visual Analytics applications\nVisual Trend Analytics\nVisual Analytics of spatial\, temporal\, and spatio-temporal data\nKnowledge construction and management in Visual Analytics\nGuidance in Visual Analytics\nIntelligent approaches of Visual Analytics and Data Science\nAdaptive Visual Analytics\nCognitive approaches and explanations for Visual Analytics\nVisual Analytics for explaining AI\nVisualization of Data Mining algorithms\nEmpirical performance studies\nEvaluation of Visual Data Mining methods\nCollaborative Visual Analytics and Data Science\nComputational steering for long-running Data Mining applications\nReviews and surveys of related literature\n\n\nRelated news for further information: \n[catlist tags=”iv2020″]
URL:https://vis.h-da.de/events/24rd-international-conference-information-visualization-iv-2020
LOCATION:TU Wien\, Karlsplatz 13\, Vienna\, 1040\, Austria
CATEGORIES:Conference
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