Association Rule Learning (ASSOC), commonly known as Association Rule Mining, refers to a type of unsupervised machine learning tasked with identifying strong patterns or associations within large datasets. These algorithms are designed to discover relationships between variables in transactional or relational databases. This process typically involves the examination of item sets to find common patterns or rules.