Association Rule Mining with Apriori and FP-Growth: Business Scenarios, Mechanics, and Implementations in Python and F#
Association rule mining is a deterministic method for discovering recurring relationships between items in transactional datasets. While collaborative filtering and deep learning models dominate personalized recommendation discussions, association rules solve a distinct class of problems: they operate directly on transaction logs, require no user profile history, and produce transparent, auditable metrics. 1. Real-World Business Scenarios…