BEGIN:VCALENDAR
VERSION:2.0
PRODID:OpenCms 20.0.18
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700329T020000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701025T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
END:STANDARD
END:VTIMEZONE				
BEGIN:VEVENT
DTSTAMP:20170207T143046
UID:85ba8b3b-cc7e-11e8-806c-000e0c3db68b
SUMMARY:Vortrag | Prof. Jean Daniel Fekete, Paris-Sud University/France
DESCRIPTION:\n\n\nSprecher\n\n\nProf. Jean Daniel Fekete\n\nParis-Sud University/France\n\n\n\n\n\nTitel\n\n\n\nProgressiVis: A New Language Paradigm for Scalability in Exploratory Analytics\n\n\n\n\n \n\nInformation Visualization (infovis) has, for years, been limited to small data: a typical\ninfovis application will work well with up-to 1000 items/records, a few can scale to 100,000 items,\nand very few have been able to deal with millions of items. Billions are seldom mentioned in the\ninfovis literature. In contrast, the research fields of machine learning and databases are\nsometimes dealing with datasets of several billions of items, and the numbers are growing.\nThere are legitimate reasons why it takes time for infovis to start catching-up with these large\nnumbers, and some work such as Lins et al. Nanocubes (http://www.nanocubes.net/) and Liu et al. imMens (http://idl.cs.washington.edu/papers/immens),\nhave started to show possible routes to scalability. However, they both rely on either pre-computed\naggregations that need hours to compute for large datasets, or on a highly parallel infrastructure\nperforming aggregations on the fly. In my talk, I will explain why we need more flexible solutions\nand present a new workflow architecture called ProgressiVis, to achieve progressive computations\nand visualization over massive datasets in a generic way. \n\nSpeaker’s Bio\nJean-Daniel Fekete is Senior Research Scientist (DR1) at INRIA, the French National Research\nInstitute in Computer Science. He received his PhD in Computer Science in 1996 from Université\nParis-Sud. From 1997 to 2001, he joined the Graphic Design group at the Ecole des Mines de Nantes\nthat he led from 2000 to 2001. He was then invited to join the Human-Computer Interaction\nLaboratory at the University of Maryland in the USA for one year. During 2015, he was on Sabbatical\nat NYU and Harvard.\nHe was recruited by INRIA in 2002 as a confirmed researcher and became Senior Research Scientist\nin 2006. He is the Scientific Leader of the INRIA Project Team AVIZ (see \nwww.aviz.fr) that he founded in 2007 and that is well known\nworldwide in the domains of visualization and human-computer interaction. His main research areas\nare Visual Analytics, Information Visualization and Human Computer Interaction.\nHe is currently the chair of the IEEE Information Visualization Conference Steering Committee,\nmember of the IEEE VIS Executive Committee, member of the EuroVis Steering Committee, and member of\nthe Eurographics publication board. He is also an ACM Distinguished Speaker. He was the General\nChair of the IEEE VIS Conference in 2014.  \nMore information about the speaker on:\n\nhttp://www.aviz.fr/~fekete/\n\n\nhttp://www.aviz.fr/\n\n\n\n  \nSee  \nhttp://www.sfbtrr161.de/events/events.html for\nall events of the Collaborative Research Center/Transregio 161
DTSTART:20170209T160000
LOCATION:C202, Power Wall Room, University of Konstanz (The talk will be transmitted to the Powerwall Room in VISUS Stuttgart-Vaihingen, Allmandring 19, Room -01.116), , , , 
URL;VALUE=URI:https://www.vis.uni-stuttgart.de/aktuelles/veranstaltungen/Vortrag-Prof.-Jean-Daniel-Fekete-Paris-Sud-University-France/
END:VEVENT
END:VCALENDAR