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What is Association Rule Mining Explained about?
The document discusses association rule mining and frequent itemset mining. It defines key concepts like frequent itemsets, support, confidence and association rules. It explains the Apriori algorithm for generating frequent itemsets and association rules in two steps - first finding all frequent itemsets that satisfy a minimum support threshold, and then generating strong association rules from these itemsets that meet a minimum confidence threshold. An example application of market basket analysis is prov
- Author
- Laxmi
- Language
- EN