Apriori Algorithm

The Apriori algorithm is a data mining technique used to find patterns or associations in large datasets, particularly in market basket analysis. It works by identifying frequent itemsets—combinations of items that often appear together in transactions. The algorithm starts with single items, then progressively combines them to discover larger groups, filtering out those that don’t meet a minimum occurrence threshold. This helps businesses understand customer behavior, such as which products are commonly bought together, enabling better inventory management, targeted marketing, and improved customer satisfaction.