Association rule mining

Association rule mining is a data analysis technique used to discover interesting relationships or patterns between items in large datasets. It identifies rules that indicate how the occurrence of one item is associated with the occurrence of another. For example, in a supermarket, it may reveal that customers who buy bread are also likely to buy butter. This information helps businesses understand consumer behavior, improve marketing strategies, and enhance product placements. Essentially, it's about finding correlations in data that can lead to valuable insights.