Association rule mining is a data mining technique used to discover interesting relationships, patterns, or associations among a set of items in large datasets. This method is widely utilized in market basket analysis to identify products that frequently co-occur in transactions, helping businesses understand customer behavior and optimize marketing strategies.
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