Chapter 20 Data Warehousing and Data Mining
State True/False
| 1. | True |
| 2. | True |
| 3. | True |
| 4. | True |
| 5. | True |
| 6. | False |
| 7. | True |
| 8. | True |
| 9. | True |
| 10. | True |
| 11. | True |
| 12. | True |
| 13. | True |
| 14. | True |
| 15. | True. |
Tick (✓) the Appropriate Answer
| 1. | (d) |
| 2. | (d) |
| 3. | (a) |
| 4. | (a) |
| 5. | (d) |
| 6. | (b) |
| 7. | (d) |
| 8. | (d) |
| 9. | (a) |
| 10. | (b) |
| 11. | (c) |
| 12. | (a) |
| 13. | (a) |
| 14. | (d) |
| 15. | (d) |
| 16. | (d) |
| 17. | (d) |
| 18. | (d) |
| 19. | (d) |
| 20. | (a). |
Fill in the Blanks
| 1. | Data mining |
| 2. | Large centralized Secondary storage |
| 3. | (a) subject-oriented, (b) integrated, (c) time-variant, (d) non-volatile |
| 4. | Business-driven information technology |
| 5. | (a) Data acquisition, (b) Data storage, (c) Data access |
| 6. | Current, integrated |
| 7. | Modelled, reconciled, read/write, transient, current |
| 8. | Arbor Software Corp., 1993 |
| 9. | Exploratory data analysis, knowledge discovery, machine learning |
| 10. | Knowledge discovery in databases ... |
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