This study analyzes 19559 transactions from Market Basket Analysis dataset to identify key purchasing patterns using Apriori and ECLAT algorithms. A Pareto analysis revealed that 20% of products generate 80% of total revenue. Strong associations were observed with purchase confidence often exceeding 90%. Targeted findings also identified a significant cross-selling opportunity between wooden picture frames and the Regency porcelain series. These insights provide actionable strategies for optimized product bundling and placement to enhance overall profitability.

This study identifies four distinct student stress profiles by applying PAM and HCPC clustering to the Student Academic Stress dataset. The model captures 76% of the total variance and reveals that Peer Pressure rather than overall stress intensity is the primary differentiator between student clusters.