Association rules is a data mining algorithm that identifies relationships between different variables in an existing dataset; this algorithm literally finds rules existing on the association relationships of variables. One of the most common scenarios that can be solved with this algorithm is the market-basket analysis. In the following example, you will learn about the association rule algorithm and how to analyze the results of this algorithm.