Instruction
Section 1 2-3 paragraphs
According to the CRISP-DM model, data mining is a process that consists of six phases:
1. Business Understanding
2. Data Understanding
3. Data Preparation
4. Modeling
5. Evaluation
6. Deployment
Give a brief description of each phase. What are its inputs and outputs? Do you believe all six phases are important to generate a valid model, or do you think we can skip some of them?
Section 2 2-3 paragraphs
Data mining relies heavily on massive amounts of data in order to train, improve, and build models. Knowing this, discuss the following:
o What role does cloud computing play in improving data mining models?
o What ethical and security concerns should be considered when adopting cloud computing for a business?