This data mining assignment focuses on association rules and clustering analysis. It utilizes XL Miner to generate association rules, demonstrating the concept of confidence and support. The assignment delves into the interpretation of these rules and discusses potential redundancy. Hierarchical clustering is applied to segment customer data based on their flight transaction history and bonus miles. The assignment compares the results with K-Means clustering and explores targeted offers for different customer segments.