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/Vienna
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220719
DTEND;VALUE=DATE:20220723
DTSTAMP:20260416T173555
CREATED:20211115T220454Z
LAST-MODIFIED:20220316T033723Z
UID:8684-1658188800-1658534399@vis.h-da.de
SUMMARY:26th International Conference Information Visualization (iV 2022)
DESCRIPTION:We are co-organizing the International Symposium Visual Analytics and Data Science at the next International Information Visualisation Conference (iV 2022)\, 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 the science of analytical reasoning empowered by interactive visualizations. The 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. In contrast\, Visual Analytics allows direct manipulation of the underlying models through graphical representations commonly. By leveraging human perception of the visual space\, patterns that might not otherwise be discovered emerge. Visual Analytics utilizes concepts from various 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. A selection of the best papers will be recommended for publication in special issues of scientific journals\, or as an edited book. \n  \nThe topics of interest include but are not limited to: \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\, geo-visualization and geographical visualization of spatial\, temporal\, and Spatio-temporal data\nVisualization support for multi-criteria decision analysis related to multivariate and spatial data\nKnowledge construction and management in Visual Analytics\nGuidance in Visual Analytics\nIntelligent approaches of Visual Analytics and Data Science\nAdaptive Visual Analytics\nHCI issues of geographical and Spatio-temporal 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=”iv2022″]
URL:https://vis.h-da.de/events/26th-international-conference-information-visualization-iv-2022
LOCATION:TU Wien\, Karlsplatz 13\, Vienna\, 1040\, Austria
CATEGORIES:Conference
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2021/11/iV2021_banner.png
END:VEVENT
END:VCALENDAR