Association theory

Association theory is a framework used primarily in statistics and data mining to identify and analyze relationships between variables or items within a dataset. It is commonly associated with market basket analysis, which seeks to understand consumer purchasing behavior by examining the co-occurrence of items in transactions. Key concepts in association theory include: 1. **Association Rules**: These are implications of the form "if A, then B," where A and B are items or itemsets. The aim is to uncover interesting relationships in data.