Association Rule Learning

Association Rule Learning is a rule-based unsupervised machine learning approach for finding relationships in large datasets. It checks for the dependency of a variable or event, on another. The goal is to find useful relationships between variables or events. It works on the concept of if else statements. If you have A then B: There …

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