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Leer Frequent Itemsets and Association rules | Introduction to Association Rule Mining
Association Rule Mining
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Cursusinhoud

Association Rule Mining

Association Rule Mining

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

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Frequent 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.

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What does the antecedent represent in an association rule?

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