Association rule learning
Imagine you’re at a supermarket, and you notice that people who buy diapers often also buy beer. This is not a random observation but a result of a powerful UL technique called association rule learning. It uncovers hidden patterns in large datasets, enabling businesses to make data-driven decisions.
What is association rule learning?
Association rule learning is an ML method that identifies frequent if-then associations called “rules” among a set of items. It’s like finding relationships between products often grouped together. These rules can be leveraged to predict future behavior, enabling businesses to strategize their marketing efforts effectively.
The Apriori algorithm – a practical example
One of the most popular algorithms used in association rule learning is the Apriori algorithm. Let’s break down how it works with a practical example.
Suppose you’re a decision-maker at a retail store...
