The Crisp-DM Methodology
1. Definition
2. Business Understanding
2.1. Determining Business Objectives
2.2. Assess the situation
2.3. Determine the data mining goals
2.4. Producing The Project Plan
3. Data Understanding
3.1. Collect the Initial data
3.2. Describe the data
3.3. Exploration the data
3.4. Verify data quality
4. Data Preparation
4.1. Data Selection
4.2. Data Cleaning
4.3. Data Construction
4.4. Data Integration
4.5. data Formatting
5. Modeling
5.1. Select the modeling technique
5.2. Generate Test Design
5.3. Build The Model
5.4. Assess the model
6. Evaluation
6.1. Evaluation of results
6.2. Process Review
6.3. Determination of next steps
7. Deployment
7.1. Plan Deployment
7.2. Plan Monitoring and Maintenance
7.3. The production of the final report
7.4. Review of the project
8. References
repository
Index
