• DocumentCode
    2401970
  • Title

    Multidimensional detective

  • Author

    Inselberg, Alfred

  • Author_Institution
    Dept. of Comput. Sci., Tel Aviv Univ., Israel
  • fYear
    1997
  • fDate
    21-21 Oct. 1997
  • Firstpage
    100
  • Lastpage
    107
  • Abstract
    The display of multivariate datasets in parallel coordinates, transforms the search for relations among the variables into a 2-D pattern recognition problem. This is the basis for the application to visual data mining. The knowledge discovery process together with some general guidelines are illustrated on a dataset from the production of a VLSI chip. The special strength of parallel coordinates is in modeling relations. As an example, a simplified economic model is constructed with data from various economic sectors of a real country. The visual model shows the interelationship and dependencies between the sectors, circumstances where there is competition for the same resource, and feasible economic policies. Interactively, the model can be used to do trade-off analyses, discover sensitivities, do approximate optimization, monitor (as in a process) and provide decision support.
  • Keywords
    data structures; data visualisation; economics; knowledge acquisition; pattern recognition; very large databases; 2D pattern recognition problem; VLSI chip; approximate optimization; competition; decision support; economic model; economic policies; economic sectors; knowledge discovery; modeling relations; monitoring; multidimensional detective; multivariate dataset display; parallel coordinates; trade-off analyses; visual data mining; Application software; Computer displays; Computer science; Data mining; Guidelines; Monitoring; Multidimensional systems; Pattern recognition; Production; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualization, 1997. Proceedings., IEEE Symposium on
  • Conference_Location
    Phoenix, AZ, USA
  • Print_ISBN
    0-8186-8189-6
  • Type

    conf

  • DOI
    10.1109/INFVIS.1997.636793
  • Filename
    636793