KDD Process : It is the complete process of preparing data for mining performing data mining and presenting knowledge to the users

Data mining is one of the steps in KDD process, the data must be prepared before data mining so the steps of KDD process are :

1] Data selection : In this step required data is selected from the large collection of data.

2] Data cleaning : In this step, abnormal data with errors are either corrected or discarded.

3] Data integration : When data is selected from different sources, they likely to have different internal formats. in this step, data is converted into single standard format.

4] Data X'formation : In this step, the data is converted into the form more efficient for analysis.

5] Data mining : Once the data is prepared, in this step, various intelligent also are applied to extract hidden patterns.

6] Pattern evaluation : All the eternal patterns may not be useful. In this step, the patterns are evaluated to find inter vesting patterns.

7] Visualization : The selected pattern represent the knowledge, In this step, the extracted knowledge is prepared to the users in the required formats.

Thus KDD process can be divided into three phases.

1. Preprocessing phase.

2. Mining phase.

3. Post processing phase.