BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Human-Computer Interaction &amp; Visual Analytics Reasearch Department (vis) at Darmstadt University of Applied Sciences (h_da) - ECPv6.16.4.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Human-Computer Interaction &amp; Visual Analytics Reasearch Department (vis) at Darmstadt University of Applied Sciences (h_da)
X-ORIGINAL-URL:https://vis.h-da.de
X-WR-CALDESC:Veranstaltungen für Human-Computer Interaction &amp; 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:Australia/Sydney
BEGIN:STANDARD
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
DTSTART:20200404T160000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+1000
TZOFFSETTO:+1100
TZNAME:AEDT
DTSTART:20201003T160000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
DTSTART:20210403T160000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+1000
TZOFFSETTO:+1100
TZNAME:AEDT
DTSTART:20211002T160000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
DTSTART:20220402T160000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+1000
TZOFFSETTO:+1100
TZNAME:AEDT
DTSTART:20221001T160000
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210705
DTEND;VALUE=DATE:20210710
DTSTAMP:20211215T034100Z
CREATED:20210503T132709Z
LAST-MODIFIED:20211215T034100Z
UID:8509-1625443200-1625875199@vis.h-da.de
SUMMARY:Online @ 25th International Conference Information Visualization (iV 2021)
DESCRIPTION:We are co-organizing the International Symposium Visual Analytics and Data Science at the next International Information Visualisation Conference (iV 2021)\, which is held online. 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. The proceedings will be published as usual in IEEE Xplore. \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.\nPapers on all aspects of Visual Analytics and Data Science are solicited. Papers will be refereed and appear in the main conference proceedings published by Conference Publishing Services CPS – Conference Publishing Services\, – Library of Congress/ISSN\, ISBN\, and other bibliographical registration details; Arrange for indexing through INSPEC\, EI (Compendex)\, Thomson ISI\, and other indexing services. \nA selection of the best papers will be recommended for publication in special issues of scientific journals\, or as an edited book. \nTopics of interest: \n\nCombining visual and computational methods of data analysis\nVisual querying\nVisual analytics of spatial\, temporal\, and spatiotemporal data\nKnowledge construction and management in visual analytics\nPrivacy issues in visual analytics\nCognitive approaches and explanations for visual data mining\nVisualization of the data mining algorithm\nScalability issues\nEmpirical studies of performance\nEvaluation of visual data mining methods\nCollaborative visualization and mining\nApplications of visual data mining and analytics\nCase studies\nComputational steering for long-running data mining applications\nReviews and surveys of related literature\n\n\nRelated news for further information: \n[catlist tags=“iv2021″]
URL:https://vis.h-da.de/events/online-25th-international-conference-information-visualization-iv-2021
LOCATION:University of Technology Sydney\, 15 Broadway\, Ultimo NSW\, Sydney\, 2007\, Australia
CATEGORIES:Conference
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2021/05/2021-iV-conference.png
END:VEVENT
END:VCALENDAR