Answer / Poorva

Association rule mining is a technique used for discovering interesting patterns and relationships between variables or items in large datasets. It helps to identify frequent itemsets, which are subsets of items that frequently appear together in transactions, and then generates association rules from these frequent itemsets. This approach is particularly useful in exploratory data analysis as it can provide insights into hidden relationships that might not be immediately apparent.

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