Clustering of data with the help of suitable examples

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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?

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Answers should be in details by your own way.

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Reference no: EM131682569

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