Course-based learning of data mining knowledge
- Understanding of main KDD concepts
- Knowledge of the most important data mining tasks and methods
- Practical experience with data mining in R
- Ability to select and implement data mining methods for a given application
- Foundation for research on new data mining methods
- Introduction
- Data reprocessing
- Cluster analysis
- Classification
- Association rules and frequent pattern mining
- Outlier detection
- Graph mining and social network analysis
- (Optional: recommender systems)
- Outlook