are created by analyzing data for frequent if/then statement patterns and using the criteria support and confidence to identify the most important relationships.
search all transactions from a system for patterns of occurrence -also called affinity grouping
unsupervised, affinity analysis, market basket analysis  identify item clusters in transaction-type databases  1. rule generation 2. assessing rule strength