♣ FT Data Mining and Other Applications
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.
KeywordsData Mining Data Item Hamiltonian Path Exploratory Data Analysis Automatic Transmission
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