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Understanding Association Rule Mining by lyhuy011 is a document available to read on EtoBox.

Association Rule Mining helps identify items that are frequently purchased together, such as bread and milk. Key concepts include transactions, itemsets, support, confidence, and association rules, which quantify the relationships between items. For example, a rule like {Milk} → {Bread} indicates a high likelihood of customers buying bread if they purchase milk.

Author
lyhuy011
Language
EN