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Association detection reveals the relationship between variables along with the nature and frequency of the relationships.

What is association detection?

  • Describes the degree to which variables are connected, as well as the kind and frequency of these correlations in the data.
  • An itemset is a collection of zero or more items in association analysis.
  • A k-itemset is an itemset that contains k items.
  • A 3-itemset is, for example, Beer, Diapers, and Milk.
  • A null (or empty) set is an itemset that contains no items.
  • In a nutshell, association analysis is used to determine how input factors are related to output variables or the relationships between them.
  • Inputs are referred to as "antecedents," and outputs are referred to as "consequents."
  • Market basket analysis is a common application and purpose for Association analysis.

Therefore, association detection reveals the relationship between variables along with the nature and frequency of the relationships.

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