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What is Association Rule Mining Techniques about?

The document discusses association rule mining and frequent itemset generation. It describes the Apriori algorithm, which uses a bottom-up approach to generate frequent itemsets by iteratively joining frequent k-itemsets to generate candidate (k+1)-itemsets. It also discusses techniques for counting the support of candidate itemsets efficiently, such as using a hash tree to match itemsets in transactions to candidates. Finally, it defines maximal and closed frequent itemsets and provides an example to illus

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