Affiliation Rule learning is usually a rule-based device learning method for discovering relationships between variables in substantial databases. It is meant to discover solid rules found in databases using some measure of "interestingness".[76] In supervised learning, the training data is labelled with the expected responses, when in unsupervised learning, the http://kwster.com/board/127978