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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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