Database Reference
In-Depth Information
Key Concepts
Association rules
Apriori algorithm
Support
Confidence
Lift
Leverage
This chapter discusses an unsupervised learning method called association rules.
This is a descriptive, not predictive, method often used to discover interesting
relationships hidden in a large dataset. The disclosed relationships can be
represented as rules or frequent itemsets. Association rules are commonly used for
mining transactions in databases.
Here are some possible questions that association rules can answer:
• Which products tend to be purchased together?
• Of those customers who are similar to this person, what products do they
tend to buy?
• Of those customers who have purchased this product, what other similar
products do they tend to view or purchase?
