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/Apriori Algorithm and Association Rules
Apriori Algorithm and Association Rules
Association Rule Mining is an important technique. We use it to discover rules between variables in large databases. Apriori algorithm helps to find the frequent itemsets from which Association Rules are made. You’ll learn about these concepts here.
Association Rule Mining
Association Rule Mining helps us find rules and relationships in the dataset. It works for both relational databases and transactional databases. It is also used to find the correlated features with each other. An association rule has two parts: antecedent and consequent. An antecedent is found in the dataset at hand and a consequent is found by using the antecedent. One such example of association rule is:
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