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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
Design a dimensional model for analysing Purchases for Adventure Works Cycles and implement it as cubes using SQL Server Analysis Services. The AdventureWorks OLTP sample database is the data source for you BI analysis.
Design a Database schema
Create an entity-relationship diagram and design accompanying table layout using sound relational modeling practices and concepts.
Implement a database of courses and students for a school.
Energy in the home, personal energy use and home energy efficiency and Efficient use of ‘waste' heat and renewable heat sources
Design relation schemas for the entire database.
Prepare the relational schema for database
Data Modeling and Normalization
Use Cases Perform a requirements analysis for the Case Study
Knowledge and Data Warehousing
Identify and explain the differences between a stack and a queue data structure
Practice on topic of Normalization
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