Contenido del Curso
Association Rule Mining
Association Rule Mining
3. Additional Applications of ARM
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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