Data Warehouse and Data Mining

Learning Outcomes

On successful completion of this course, student will be able to: Explain basic concepts and architecture of data warehouse and data mining concepts and techniques; Analyze collection of data and techniques for pre-processing the data before using in data warehouse and data mining; Design data warehouse and data mining model; Analyze the strategy of design and implement data warehouse and data mining that appropriate to the need

Topics

1. The Data warehouse Environment
2. The Data Warehouse and Design
3. The Data Warehouse and Technology
4. The Distributed Data Warehouse
5. External/Unstructured Data and the Data Warehouse
6. Data Warehouse Design Review Checklist
7. Introduction/Overview of Data Mining
8. Data Pre-processing
9. Classification: Classification by Decision Tree
10. Classification: Bayesian Classifiers
11. Association Analysis: Frequent Itemset Generation
12. Association Analysis: Association Rules
13. Association Analysis: From Association Mining to Correlation Analysis
14. Cluster Analysis: K-Means