DSPA Chapter 11 Apriori Association Rule LearningHTTP cookies are
used to track web-surfing the Internet traffic. We often notice that
promotions (ads) on websites tend to match our needs, reveal our prior
browsing history, or may reflect our interests. That is not an accident.
Nowadays,
recommendation systems
are highly based on machine learning methods that can learn the
behavior, e.g., purchasing patterns, of individual consumers. In this
chapter, we will uncover some of the mystery behind recommendation
systems like market basket analysis. Specifically, we will (1) discuss
association rules and their support and confidence, (2) the Apriori algorithm
for association rule learning, and (3) cover step-by-step a set of
case-studies, including a toy example, Head and Neck Cancer Medications,
and Grocery purchases.
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