Lecture Notes
- Course Introduction (pdf, video)
- Data Mining (pdf, video)
- Machine Learning for Data Mining (pdf, video)
- Data Representation (pdf, video)
- Association Rules
- Clustering
- Introduction (pdf, video)
- Partitioning Clustering (pdf, video)
- Hierarchical Clustering (pdf, video)
- Density-based, grid-based, and model-based clustering (pdf, video)
- Classification
- Evaluation (pdf, video)
- Ensemble Methods: Bagging, Boosting and Random Forests (pdf)
- Mining Data Streams (pdf)
Software
Exams
- Spring 2007 (zip)
- Spring 2008 (zip)
- Spring 2009 (zip)