Frequent Pattern Mining is a data mining technique used to identify recurring patterns, associations, or structures among sets of items in large databases, which is crucial for tasks like market basket analysis and recommendation systems. It involves discovering itemsets that appear frequently together, allowing businesses to understand customer behavior and optimize their strategies accordingly.