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• Data mining process and methodology
• Steps of the CRISP-DM
• Business understanding
• Data understanding
• Creating a data mining data mart
• Data preparation base statistic
• Modeling
• Evaluation
• Deployment

Data understanding

Data understanding

• Collect initial data
• Describe data
• Explore data
• Verify data quality
• Specify the data to be used
• Define the data mining task

In this step the data needs to be chosen for the information request, to solve the tasks appointed. The analysts examine data quality and assess missing values.

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