Frequent Pattern mining
Frequent pattern mining is the process of identifying patterns or associations within a dataset that occur frequently. This is typically done by analyzing large datasets to find items or sets of items that appear together frequently.
Applications: DNA sequences, protein structures, leading to insights in genetics and drug design.