Interactive Visualization of Large High-Dimensional Datasets

  • Wei Ding
  • Ping Chen
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 132)


Nowadays many companies and public organizations use powerful database systems for collecting and managing information. Huge amount of data records are often accumulated within a short period of time. Valuable information is embedded in these data, which could help discover interesting knowledge and significantly assist in decision-making process. However, human beings are not capable of understanding so many data records which often have lots of attributes. The need for automated knowledge extraction is widely recognized, and leads to a rapidly developing market of data analysis and knowledge discovery tools.


Data Dimension Visual Object Transformation Function Visualization System Interactive Visualization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We gratefully thank Devon Energy for permission to show their data. We thank Bob Vest and 3DSEIS software for being our 3D seismic interpretation software package. Also we would like to express our gratitude toward the referees who gave detailed and valuable suggestions for the improvement of this chapter.


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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Wei Ding
    • 1
  • Ping Chen
    • 2
  1. 1.Department of Computer ScienceUniversity of Massachusetts BostonBostonUSA
  2. 2.Department of Computer and Mathematical SciencesUniversity of Houston DowntownHoustonUSA

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