Association rule (e.g., Apriori and Eclat algorithms)
Association rule learning is a technique used to uncover relationships or associations between items in large datasets, particularly used in market basket analysis. It aims to identify rules that describe how certain items often appear together. Two of the most popular algorithms for association rule learning are Apriori and Eclat. Apriori Algorithm: Principle: If an…