Data mining techniques are currently highly useful and widely used in industry, business and government. However, their broad adoption is sometimes limited because non-expert users are required to accurately interpret and deal with the complex results obtained. In this paper, we put forward a methodology for the display of association rules using an intermediate form. This technique enables efficient processing of the rules by generating a standard format through a graph structure that allows us to adapt the rules to different display tools. We also show some illustrative examples of the usefulness of this intermediate form.