• DocumentCode
    3012104
  • Title

    Requirements for coordinated multiple view visualization systems for industrial applications

  • Author

    Heijs, Anton

  • Author_Institution
    Treparel Inf. Solutions, Delft
  • fYear
    2007
  • fDate
    2-2 July 2007
  • Firstpage
    76
  • Lastpage
    79
  • Abstract
    In this paper we discuss the importance of commercial visualization application development on the progress of research on coordinated multiple view visualization techniques. There is a need for scalable infovis visualization solutions which is in fact the need to control the growing complexity in business data sets. The CMV visualization systems users need solutions which bring insight the complexity of their data. The progress in CMV visualization will be determined by the effort companies put in these problems to help clients with business data in combination with their collaboration with the CMV researchers at the universities.
  • Keywords
    data mining; data visualisation; learning (artificial intelligence); CMV visualization systems; business data; coordinated multiple view visualization systems; data mining; industrial applications; machine learning techniques; scalable infovis visualization; Business; Collaborative work; Companies; Data mining; Data visualization; Educational institutions; Electrical equipment industry; Machine learning; Physics; Text mining; Coordinated multiple view; data mining; mining; text; visualization systems.;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Coordinated and Multiple Views in Exploratory Visualization, 2007. CMV '07. Fifth International Conference on
  • Conference_Location
    Zurich
  • Print_ISBN
    0-7695-2903-8
  • Type

    conf

  • DOI
    10.1109/CMV.2007.19
  • Filename
    4269950