1. INTRODUCTION TO DATA MINING
2. DATA PREPROCESSING
3. EXPLORATORY DATA ANALYSIS
4. STATISTICAL APPROACHES TO ESTIMATION AND PREDICTION
5. k-NEAREST NEIGHBOR ALGORITHM
6. DECISION TREES
7. NEURAL NETWORKS
8. HIERARCHICAL AND k-MEANS CLUSTERING
9. KOHONEN NETWORKS
10. ASSOCIATION RULES
11. MODEL EVALUATION TECHNIQUES
