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Learning association rules
Ian Witten explains that Apriori's strategy is to specify a minimum Confidence and iteratively reduce Support until enough rules are found.
Apriori’s strategy for generating association rules is to specify a minimum “confidence” and iteratively reduce “support” until enough rules are found. Doing this efficiently involves an interesting and subtle algorithm. “Market basket analysis” is often considered a prime candidate for association rule mining, and we look at some data that records the contents of shopping baskets in a real New Zealand supermarket.
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