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.
Know more about association detection here:
https://brainly.com/question/828391
#SPJ4