Slides

• Session 1: Introduction to Data Mining
  

• Session 2: Introduction to Data Mining (continued)
  

• Session 2: Building Data Cubes and Mining Them (adapated from original presentation by Jelena Jolanovic)
  

• Session 3: Data Preprocessing
  

• Session 4: Data Warehousing and OLAP Technology for Data Mining
  

• Session 5: Concept Description - Characterization and Comparison
  

• Session 5: Data Cube Technology
  

• Session 6: Mining Frequent Patterns, Association, and Correlations
  

• Session 7: Classification and Prediction
  

• Session 8: Classification and Prediction (continued)
  

• Session 9: Clustering
  

• Session 10: Data Mining Applications (Part I)
  

• Session 11: Data Mining Applications (Part II)
  

• Session 12: Data Mining in Support of Advanced Applications
  

Slides for Download (PDF Version)