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♣ FT Data Mining and Other Applications

In: Parallel Coordinates

Author

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  • Alfred Inselberg

    (Tel Aviv University School of Mathematical Sciences)

Abstract

The first, and still most popular, application of parallel coordinates is in exploratory data analysis (EDA) to discover data subsets (relations) that fulfill certain objectives and guide the formulation of hypotheses. A data set with Mitems has 2 M subsets, any one of which may be the one we really want. With a good data display, our fantastic pattern-recognition ability cannot only cut great swaths in our search through this combinatorial explosion, but also extract insights from the visual patterns. These are the core reasons for data visualization.

Suggested Citation

  • Alfred Inselberg, 2009. "♣ FT Data Mining and Other Applications," Springer Books, in: Parallel Coordinates, chapter 10, pages 379-427, Springer.
    • Handle: RePEc:spr:sprchp:978-0-387-68628-8_10
    DOI: 10.1007/978-0-387-68628-8_10
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