What is Association Rule Learning primarily used for?

Options

  • A. Discovering relationships or co-occurrence patterns among items in a dataset
  • B. Predicting only continuous numerical values
  • C. Assigning every observation to a predefined class
  • D. Reducing the number of features using eigenvectors
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. Discovering relationships or co-occurrence patterns among items in a dataset

Detailed Explanation

Association Rule Learning is an unsupervised learning approach used to discover interesting relationships among variables or items. It is widely used in market basket analysis. For example, it can identify that customers who purchase one product frequently purchase another product as well.

Apriori is a well-known algorithm used for discovering frequent itemsets and generating association rules.

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