The document discusses association rule mining for market basket analysis. It describes the market basket model where items are products and baskets represent customer purchases. It defines key terms like support, frequent itemsets, and association rules. It also discusses the challenges of scale for large retail datasets and describes the A-Priori algorithm for efficiently finding frequent itemsets and generating association rules from transaction data.

1. Association Rules Mining : Introduction to Algorithms