Frequent pattern mining is a fundamental data mining methodology dedicated to identifying patterns, such as itemsets or sequences, that occur with a frequency exceeding a specified threshold within a dataset. This research area is significant for revealing underlying structures and associations, serving as a crucial step for subsequent knowledge discovery processes.