Description of the illustration dmprocess.png

This graphic identifies four phases in the data mining process: Problem Definition, Data Gathering and Preparation, Model Building and Evaluation, and Knowledge Deployment.

Problem Definition points to Data Gathering and Preparation. This phase includes:

• Data Access

• Data Sampling

• Data Transformation

Data Gathering and Preparation points to Model Building and Evaluation. This phase includes:

• Create Model

• Test Model

• Evaluate and Interpret Model

Model Building and Evaluation points to Knowledge Deployment. This phase includes:

• Model Apply

• Customer Reports

• External Applications

Knowledge Deployment points back to Problem Definition, illustrating the iterative nature of the data mining process.