Association rule learning is a method used in AI (Machine Learning) and data analysis to find patterns or relationships between items in large sets of data. For example, it can help businesses discover that customers who buy one product are likely to buy another. This technique is often used in retail (like “people who buy bread often buy butter”) but can be applied in many areas. It is important to use it carefully to avoid finding misleading or biased patterns.