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The document provides an overview of the Apriori algorithm, a method used in data mining for identifying frequent itemsets and association rules based on customer transactions. It explains key concepts like support, confidence, and lift with practical examples, as well as its applications in retail and healthcare. The document also discusses the algorithm's advantages, limitations, and methods to enhance its efficiency.





















