As the below architecture suggests, association rule mining has several applications and is widely used to help discover sales co-relations in transactional data or medical data sets. The act of using association rules is sometimes referred to as "association rule mining" or "mining associations." As the below image illustrates, developers can collect data on how consumers use a website they create. They can then use associations in the data to optimize the website user interface by analyzing where users tend to click and what maximizes their chance of engaging with a call to action. It should be noted here that association rules are created by searching data for frequent if-then patterns and using the criteria support and confidence to identify the most important relationships.
