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Frequent Itemsets and Association rules | Introduction to Association Rule Mining
Association Rule Mining
course content

Зміст курсу

Association Rule Mining

Association Rule Mining

1. Introduction to Association Rule Mining
2. Mining Frequent Itemsets
3. Additional Applications of ARM

bookFrequent Itemsets and Association rules

Frequent itemsets refer to sets of items that frequently appear together in transactions within a dataset. In other words, these are combinations of items that occur with a frequency above a specified threshold.

Association rules are logical relationships that describe the associations between different sets of items in a dataset. These rules are typically expressed in the form of if-then statements, indicating that the presence of certain items (the antecedent) implies the presence of other items (the consequent) with a certain level of confidence.

In essence, frequent itemsets highlight item combinations that occur frequently, while association rules uncover patterns and relationships between items within these frequent itemsets.

What does the antecedent represent in an association rule?

What does the antecedent represent in an association rule?

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