Answer the following questions :
1. Define the KDD process and describe all its step?
2. Differentiate between classification of data and clustering of data with the help of suitable examples.
3. Explain different approaches to handle the problem of missing values of attributes while data cleaning.
4. Why do we need preprocessing of the data? Explain any four data preprocessing techniques with the help of suitable examples.