Q1 :Define the KDD process and describe all its step?
Q2: Differentiate between classification of data and clustering of data with the help of suitable examples?
Q3: Explain different approaches to handle the problem of missing values of attributes while data cleaning?
Q3: Why do we need preprocessing of the data? Explain any four data preprocessing techniques with the help of suitable examples?
NOTE:
Answers should be in details by your own way.
Thanks.