This data mining assignment analyzes customer behavior within the cosmetic industry using various techniques. It involves applying association rule mining to uncover relationships between products, performing hierarchical clustering to segment customers based on spending habits and flight transaction frequency, and comparing the results with K-means clustering. The analysis culminates in generating targeted offers for each identified customer segment: Middle Class Flyers, High Networth Flyers, and Non-Frequent Flyers.