BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Human-Computer Interaction & Visual Analytics Reasearch Department (vis) at Darmstadt University of Applied Sciences (h_da) - ECPv6.15.14//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Human-Computer Interaction & Visual Analytics Reasearch Department (vis) at Darmstadt University of Applied Sciences (h_da)
X-ORIGINAL-URL:https://vis.h-da.de
X-WR-CALDESC:Events for Human-Computer Interaction & Visual Analytics Reasearch Department (vis) at Darmstadt University of Applied Sciences (h_da)
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20190331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20191027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20201025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200907T013000
DTEND;TZID=Europe/Berlin:20200911T141500
DTSTAMP:20260411T173942
CREATED:20200522T131431Z
LAST-MODIFIED:20220825T092759Z
UID:7405-1599442200-1599833700@vis.h-da.de
SUMMARY:Online @ 24rd International Conference Information Visualization (iV 2020)
DESCRIPTION:We 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. \nPlease note that the IV2020 will be held online and the submission deadline was extended. The processings will be published as usual in IEEE Xplore.  \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\n  \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=”] \nOur Group co-organizes the main symposium 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-2020-2
LOCATION:TU Wien\, Karlsplatz 13\, Vienna\, 1040\, Austria
CATEGORIES:Conference
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2020/05/IV2020_neu.jpg
END:VEVENT
END:VCALENDAR