Definition
A method for discovering interesting relationships between variables in large databases.
Detailed Explanation
Association rule learning finds rules of the form 'if A then B' based on frequency patterns in data. It uses metrics like support, confidence, and lift to evaluate rule quality. The technique is particularly useful for understanding co-occurrence patterns.
Use Cases
1. Market basket analysis 2. Cross-selling strategies 3. Web usage mining 4. Medical diagnosis