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Summary

  • Data attribute types: nominal, binary, ordinal, interval-scaled, ratio-scaled
  • Many types of data sets, e.g., numerical, text, graph, Web, image.
  • Gain insight into the data by:
    • Basic statistical data description: central tendency, dispersion, graphical displays
    • Data visualization: map data onto graphical primitives
    • Measure data similarity
  • Above steps are the beginning of data preprocessing.
  • Many methods have been developed but still an active area of research.

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