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[Nov04]  Visually Effective Information Visualization of Large Data

Novotny:2004:VEI (In proceedings)
Author(s)Novotny M.
Title« Visually Effective Information Visualization of Large Data »
InEighth Central European Seminar on Computer Graphics (CESCG 2004, April 19-21, 2004, Budmerice, Slovakia)
Year2004

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.

BibTeX code
@inproceedings{Novotny:2004:VEI,
  opteditor = {},
  optpostscript = {},
  optaddress = {},
  optorganization = {},
  author = {Matej Novotny},
  optkey = {},
  optannote = {},
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  optpublisher = {},
  localfile = {papers/Novotny.2004.VEI.pdf},
  optisbn = {},
  optkeywords = {},
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  citeseer = {http://citeseer.ist.psu.edu/novotny04visually.html},
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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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