The chapter discusses association rules and market basket analysis, which help retailers understand customer purchasing patterns. It introduces terms like itemset, support count, frequent itemset, closed frequent itemset, and maximal frequent itemset. The chapter also explains metrics used to evaluate association rules and presents the Apriori algorithm, a popular tool for mining association rules. The Apriori algorithm reduces the number of candidate itemsets and identifies frequent itemsets.