This lecture covers Association Rule Mining, focusing on finding rules like Body → Head with support and confidence measures, illustrated with a shopping basket analysis example. It explains single- and multi-dimensional rules, scoring functions, the Apriori algorithm, and the steps involved in mining association rules.
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Explores Association Rule Mining, emphasizing Frequent Itemsets and Alternative Measures of Interest, including the FP-Growth algorithm and performance comparison.
