Association Rules: Mining and Algorithms

This lecture by the instructor covers the topic of Association Rule Mining, focusing on the concepts of support and confidence in rule generation. It explains the Apriori algorithm, which is used to find frequent itemsets and select relevant rules. The lecture also delves into the JOIN step and the process of pruning candidate itemsets. Various examples and scenarios are presented to illustrate the application of these algorithms in real-world datasets.