Overview
Association Rule Learning is a powerful technique in data mining that helps uncover relationships between variables in large datasets. By analyzing patterns, businesses can make informed decisions, such as optimizing product placements or improving customer recommendations. Key metrics like support,...
Key Terms
Example: If 100 transactions include bread and 20 include both bread and butter, the support for {bread} is 0.2.
Example: If 20 out of 100 transactions that include bread also include butter, the confidence of the rule {bread} -> {butter} is 0.2.
Example: If the lift of the rule {bread} -> {butter} is 1.5, it indicates a strong association.
Example: In a grocery store, {milk, bread} might be a frequent itemset if it appears in 30% of transactions.
Example: A transaction could be a customer's purchase of milk, bread, and eggs.
Example: Data mining techniques can reveal customer buying patterns.