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Association Rules
Association rules uncover items that are frequently associated together. The algorithm of association rules was initially developed in the context of market basket analysis for studying customer purchasing behaviors that can be used for marketing. Association rules uncover what items customers often purchase together. Items that are frequently purchased together can be placed together in stores or can be associated together at e-commerce websites for promoting the sale of the items or for other marketing purposes. There are many other applications of association rules, for example, text analysis for document classification and retrieval. This chapter introduces the algorithm of mining association rules. A list of software ...
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