**Techniques of Decision Support Systems**

1. Explain the steps of classification in data mining?
2. How is the preprocessed data classified for data mining process?
3. Explain the purpose of k-fold cross validation (do not copy answers from slide).
4. Explain issues occurs during data preparation.
5. Explain two process of generating the decision tree.
6. What is over fitting? How to solve over fitting?
7. What is the purpose of decision tree pruning? Differentiate preprunning from postprunning.