What are the three important stages of data mining?
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The three important stages in data mining are:
1. Exploration: Understanding and preparing data for analysis through cleaning, integration, and transformation.
2. Modeling: Applying statistical models or machine learning algorithms to identify patterns and relationships in the data.
3.Deployment: Integrating and using the developed models in real-world applications to make predictions or decisions.
The three important stages of data mining are Exploration, Modeling, and Evaluation.