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Today we are delving into fundamental method of Apriori Algorithm in data mining used for discovering frequent itemsets and generating association rules. It operates on the principle that if an itemset is frequent, all of its subsets must also be frequent, a concept known as the Apriori property. For instance, you can discover patterns like "customers who buy bread also tend to buy butter" or "if someone buys diapers, they are likely to buy baby wipes." These patterns are called association rules.
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