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what is Concept Hierarchy? How Concept Hierarchy is generated for Numerical and categorical data?
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Concept Hierarchy reduce the data by collecting and replacing low level concepts (such as numeric values for the attribute age) by higher level concepts (such as young, middle-aged, or senior).

Concept hierarchy generation for numeric data is as follows:

  • Binning (see sections before)
  • Histogram analysis (see sections before)
  • Clustering analysis …

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