The Apriori Algorithm: Basics The Apriori Algorithm is an influential algorithm for mining frequent itemsets for boolean association rules. Frequent pattern mining is a data mining technique to discover frequent patterns or relationships between items in a dataset. Frequent pattern mining involves finding sets of items or itemsets that occur together frequently in a dataset. Learn how to use the Apriori algorithm to find frequent itemsets and generate association rules from a transaction database. See an example of applying the algorithm to the iris dataset using Python and mlxtend library. Learn what is Apriori algorithm in data mining, how it works, and its applications with examples. Discover steps of Apriori algorithm, its advantages, and solutions to improve efficiency.
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