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What is Apriori Algorithm for Frequent Itemsets about?

The Apriori algorithm is a foundational method for frequent itemset mining, introduced by R Agarwal and R Srikant, utilizing prior knowledge of itemset properties to improve efficiency. It operates through iterative join and prune steps to identify frequent itemsets based on a minimum support threshold, and subsequently generates association rules based on a minimum confidence threshold. An example illustrates the algorithm

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hrp25082003

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EN