1. CRISP-DM

Cross Industry Standard Process for Data Mining (CRISP-DM) is a methodology that describes the approach use in tackling data mining problems
Phases of CRISP-DM
1. Phase 1 – Business Understanding
  - Determine business objectives
  - Assess situation
  - Determine data mining goals
  - Produce project plan
2. Phase 2 – Data Understanding
  - Collect initial data
  - Describe and explore data
  - Verify data quality
3. Phase 3 – Data Preparation
  - Select data and Clean data
  - Construct and integrate data
  - Format data
4. Phase 4 – Modeling
  - Select the modeling technique
  - Generate test design
  - Build and assess model
5. Phase 5 – Evaluation
  - Evaluate results
  - Review process and determine next steps
6. Phase 6 – Deployment
  - Plan deployment
  - Plan monitoring and maintenance
  - Produce final report and presentation
  - Review project

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