6.4 Summary
■ The discovery of frequent patterns, associations, and correlation relationships among huge amounts of data is useful in selective marketing, decision analysis, and business management. A popular area of application is market basket analysis, which studies customers’ buying habits by searching for itemsets that are frequently purchased together (or in sequence).
■ Association rule mining consists of first finding frequent itemsets (sets of items, such as A and B, satisfying a minimum support threshold, or percentage of the task-relevant tuples), from which strong association rules in the form of 
are generated. These rules also satisfy ...
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