Description: Relationship between databases, data warehouses, data mining, and machine learning. Data preprocessing and cleansing. Knowledge Representation. Association Mining. Segmentation. Feature Extraction, Classification and Regression. Case studies: Basket Analysis and Credit Risk Scoring.

Prerequisite: Consent of the Instructor