@inproceedings{Novotny:2004:VEI,
opteditor = {},
optpostscript = {},
optaddress = {},
optorganization = {},
author = {Matej Novotny},
optkey = {},
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localfile = {papers/Novotny.2004.VEI.pdf},
optisbn = {},
optkeywords = {},
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citeseer = {http://citeseer.ist.psu.edu/novotny04visually.html},
opturl = {},
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booktitle = {Eighth Central European Seminar on Computer Graphics (CESCG 2004,
April 19-21, 2004, Budmerice, Slovakia)},
optvolume = {},
optnumber = {},
abstract = {Recent technology developments produce an increasingly large
volume of information. Therefore visualization of these data
requires sophisticated and efficient methods that take the amount
of data into account. The information often gets lost or hidden in
displays of traditional information visualization techniques. A
significant improvement can be achieved using clustering and
visual abstraction. The synergetic approach introduced here
combines visual and computer data mining. Its effect is
demonstrated on a popular information visualization method – the
parallel coordinates.},
title = {{V}isually {E}ffective {I}nformation {V}isualization of {L}arge
{D}ata},
year = {2004},
}
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