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Concept Hierarchy Generation

  • Concept hierarchy organizes concepts (i.e., attribute values) hierarchically and is usually associated with each dimension in a data warehouse
  • Concept hierarchies facilitate drilling and rolling in data warehouses to view data in multiple granularity
  • Concept hierarchy formation: Recursively reduce the data by collecting and replacing low level concepts (such as numeric values for age) by higher level concepts (such as youth, adult, or senior)
  • Concept hierarchies can be explicitly specified by domain experts and/or data warehouse designers
  • Concept hierarchy can be automatically formed for both numeric and nominal data. For numeric data, use discretization methods shown.

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