Frequent itemsets

Frequent itemsets are groups of items that often appear together in data, such as products purchased during the same shopping trip. For example, if many customers buy bread and butter together, these two items form a frequent itemset. Identifying these patterns helps businesses understand customer behavior and optimize product placement or recommendations. Essentially, frequent itemsets reveal which items are commonly associated, enabling better targeted marketing and inventory decisions. The goal is to discover combinations that occur frequently enough to be meaningful, based on a set minimum threshold called support.