4. Data Mining: What is the difference between a representative and unrepresentative sample?

5. Data Mining: Data mining uses many special algorithms in order to discover hidden knowledge from data. What is the difference between supervised and unsupervised learning?

6. Data that we obtain for mining is not always perfect and often contains missing values. Why it is not necessarily a good idea just to discard rows (or columns) that contain missing values?