Course: 05, 12
Code: 6018
Time: 2.30 Hrs. M.M.: 75
Section 'A'
Note: Attempt any 10 questions. 10 x 1 = 10
1. Data mining needs to be integrated from various.............data sources.
2. A data warehouse is a...............designed to enable business intelligence activities.
3. ............component of a data warehouse is responsible for the collection of data.
4. ............server is placed between the relational back-end server and client front-end tools.
5. ............is a group of objects that belong to the same class.
6. The data is transformed by...........and..........
7. Neural networks are typically organized in............
8. ......... is a classic data mining technique based on machine learning.
9. Data mining tools helps the financial institutes to detect the.............
10. Data mining is mainly concerned with the analysis of...............
11. Data mining query languages in actually based on the................
12. Learning is a form of associative learning...........
Section 'B'
Note: Attempt any 5 questions. 5 x 6 = 30
13. What is data mining and how it works explain?
14. Explain different applications of data mining.
15. Differentiate between OLAP and OLTP?
16. What is data mart? Why we need data mart?
17. Explain integration schemes for the data mining system with a database / data warehouse system.
18. What are the various applications of cluster analysis?
19. Explain a case study for Biomedical and DNA data analysis?
Section 'C'
Note: Attempt any 5 questions. 5 x 7 = 35
20. Explain all the steps to create a data mining model?
21. Explain all the process used in data warehousing?
22. Explain architecture of data warehousing.
23. Explain different clustering methods?
24. Explain association mining and its types?
25. Explain OLAP and its types.
26. Write short notes on following:
a) Decision tree
b) Characteristics of data warehouse
c) Verification model