Customer Segmentation and Market Basket Analysis: Machine Learning Clustering and Association Rule Mining

Key Points

• The central aim is to assess the effectiveness of machine learning methods for customer segmentation and market basket analysis.
• Evaluated machine learning clustering techniques for customer segmentation.
• Applied association rule mining to analyze market basket data.
• Used datasets representative of customer purchasing behavior.
• Identified distinct customer segments based on purchasing patterns.
• Revealed strong associations between various products purchased together.

Abstract