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Confidence in Association Rules by binokad912 is a document available to read on EtoBox.

What is Confidence in Association Rules about?

The document explains association rules, which define the relationship between sets of items in transactions, using metrics like support, confidence, and lift to evaluate these rules. It details the Apriori algorithm for mining association rules, including steps to identify frequent itemsets and generate rules based on minimum support and confidence thresholds. The document also highlights practical applications of the Apriori algorithm in e-commerce, food delivery, streaming services, and financial service

Author

binokad912

Language

EN