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Interactive Visualization of Large High-Dimensional Datasets

In: Data Engineering

Author

Listed:
  • Wei Ding

    (University of Massachusetts Boston)

  • Ping Chen

    (University of Houston Downtown)

Abstract

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.

Suggested Citation

  • Wei Ding & Ping Chen, 2009. "Interactive Visualization of Large High-Dimensional Datasets," International Series in Operations Research & Management Science, in: Yupo Chan & John Talburt & Terry M. Talley (ed.), Data Engineering, chapter 15, pages 335-351, Springer.
  • Handle: RePEc:spr:isochp:978-1-4419-0176-7_15
    DOI: 10.1007/978-1-4419-0176-7_15
    as

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