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Explain steps involved in data mining knowledge process?
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Answer / Abhijit Mehrotra
The Data Mining Knowledge Process involves four main steps: Business Understanding, Data Understanding, Data Preparation, and Model and Result Evaluation. In the first step, understanding the business problem is crucial. The second step focuses on exploring and understanding the data available. In the third step, data is prepared for mining. Finally, in the fourth step, models are built, evaluated, and results are interpreted.
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