A frequent itemset refers to a collection of items that appear together in a dataset with a frequency that meets or exceeds a predefined threshold. This concept is fundamental in data mining for identifying patterns, associations, and correlations within large datasets, enabling insights into consumer behavior, inventory management, and more.