Data Mining Project

Customer dataset & behavior analysis with Data Mining tools:

• Data understanding, preparation & cleaning (outlier detection, handling missing values and quality assessment)
• Clustering: K-Means, density-based & hierarchical
• Data classification & Predictive analysis
• Pattern Mining and Association Rules
• Time Series Analysis & Sequential Pattern Mining

Team Members:

• Diletta Goglia
• Marco Petix

Final grade

30/30