CRISP-DM ​
Abstraction levels
- Phases
- Generic tasks
- specialized tasks
- process instances
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Business Understanding:
- determine business objectives
- assess situation
- determine data mining goals
- produce project plans
Data Understanding:
- collect initial data
- describe data
- explore data
- verify data quantity
Data Preparation:
- select data
- clean data
- construct data
- format data
Modelling:
- select modelling technique
- generate test design
- building model
- assess model
Evaluation:
- evaluate results
- review process
- determine next steps
Deployment:
- plan deployment
- plan monitoring and maintenance
- produce final report
- review project
60% of time is spent on data preparation.
CRISP-DM: Limitations
- Data acquisition problem
- project managment aspect of data mining study
- how to evaluate success of each phase.
Design Science Methodology ​
Design science is the design and investingation of artifacts in context.
- design problems
- utility is main goal
- knowledge is side-effect
- knowledge problems
- knowledge is main goal
- utility is side effect
This is a computer assisted language learning project.
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Hello. I'm interested in communicating with other contries people. But my english skill id not good. So I would like to improve it. I can help if you need to improve Japanese