1- Define the KDD process and describe all its step?

2- Differentiate between the 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 4