AI engineering glossary · Classical ML algorithms
What is association rule learning?
Association rule learning: A technique for finding co-occurrence patterns in transactions, expressed as rules like 'if items A are bought then B is likely'. Rules are scored by support, confidence and lift. It is used in market-basket analysis.
Association rule learning: an example
Finding that customers who buy bread and eggs also buy butter in a supermarket's bills.
Related terms
More Classical ML algorithms terms
Where you learn it
Association rule learning is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.