Definition

CRISP-DM stands for Cross-industry standard process for data mining.

Phases

Business Understanding

Determine business objectives

• Background
• Business objectives
• Business success criteria

Assess situation

• Inventory of resources
• Requirements, assumptions, and constraints
• Risks and contingencies
• Terminology
• Costs and benefits

Determine data mining goals

• Goals
• Success criteria

Data Understanding

Collect initial data

• Initial data collection report

Describe data

• Data description report

Explore data

• Data exploration report

Verify data quality

• Data quality report

Data Preparation

Data set

• Data set description

Select data

• Rationale for inclusion / exclusion

Clean data

• Data cleaning report

Construct data

• Derived attributes
• Generated records

Integrate data

• Merged data

Format data

• Reformatted data

Modeling

Select modeling technique

• Modeling technique
• Modeling assumption

Generate Test Design

• Test design

Build Model

• Parameter settings
• Models
• Model description

Evaluation

Evaluate results

• Assessment of data mining results according to business success criteria
• Approved models

Review process

• Review of process

Determine next steps

• List of possible actions
• Decisions

Deployment

Plan deployment

• Deployment plan

Plan monitoring and maintenance

• Monitoring and maintenance plan

Produce final report

• Final report
• Final presentation

Review project

• Experience documentation