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Data Mining and Warehousing
1. What is data warehouse?
2. Difference between operational database system and data warehouse
3. Explain multidimensional data model?
4. Explain data warehouse architecture?
5. Explain data warehouse implementation?
6. Explain OLAP?
7. Explain metadata repository?
8. Explain data mining primitives?
9. Explain data mining query language?
10. Explain visualization of discovered patterns?
11. Explain association rule mining?
12. Explain multilevel association rules?
13. Explain issues regarding classification and prediction?
14. Explain decision tree induction?
15. Explain Bayesian classification?
16. Explain types of data in cluster analysis?
17. Explain partitioning methods?
18. Explain partition-based methods?
19. Explain hierarchical based methods?
20. Explain density-based methods?
21. What is data cleaning?
22. Explain neural networks approach?
23. Explain statistical approach?
24. Explain data mining application?
25. Explain data mining system products and research prototypes?
26. Explain data mining and intelligent?
27. Explain classification by back propagation?
28. Explain classification based on the concepts from association rule?
29. What Data integration and transformation?
30. Explain data transformation?
31. Explain data reduction?
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