The Apriori Algorithm is a fundamental technique in data mining, primarily used for mining frequent itemsets and generating association rules from transaction datasets. It plays a crucial role in market basket analysis, helping businesses understand customer purchasing patterns. By identifying combinations of items that frequently co-occur in transactions, the algorithm enables the development of recommendation systems, such as “customers who bought this also bought that.” The Apriori Algorithm operates on the principle that all subsets of a frequent itemset must also be frequent, making it efficient in filtering out infrequent itemsets during analysis.