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Data Mining
Case Study Discussions: Please read the relevant case study and answer the questions at the end of the case study
Portfolio Questions
1. What is Data Mining, and what is a data warehouse?
2. What are the main data preprocessing steps? Briefly describe each step and provide relevant examples.
3. What do you think is the most prominent application area for data mining? Why?
4. Discuss the difference between categorical and numerical data.
5. What are the key differences between the major data mining methods? Explain the appropriateness of their adaptability?
6. Give examples of situations in which classification would be an appropriate data mining technique. Give examples of situations in which regression would be an appropriate data mining technique.
7. Briefly discuss the various stages of the CRISP-DM process
8. Briefly discuss the various stages of the SEMMA process
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