Association rules are a set of if-then statements that identify relationships between variables in large datasets. They are widely used in data mining to discover patterns of co-occurrence among items, which helps in understanding how different attributes correlate with each other. These rules can highlight the strength and significance of these associations, making them valuable for decision-making processes in various fields such as marketing and recommendation systems.
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