Lecture 05 Association Rules Advanced Topics

The document outlines advanced topics in data mining and text mining, focusing on association rules, especially the FP-Growth algorithm for mining frequent patterns without candidate generation. It discusses the performance bottlenecks of the Apriori algorithm and presents methods to efficiently construct and mine FP-Trees to extract frequent itemsets. Additionally, it covers the concept of multi-level association rules and correlation rules, including their significance and how to calculate them.