: From the final frequent itemsets, generate association rules that meet the minimum confidence threshold. Real-World Applications
: Start with individual items (1-itemsets) and count their support. apriori
were independent. A lift greater than 1 suggests a strong positive association. How the Apriori Algorithm Works : From the final frequent itemsets, generate association
: The frequency or percentage of transactions in which an itemset appears. : From the final frequent itemsets