B.Sc. DEGREE EXAMINATION, NOVEMBER 2017
Fifth Semester
Computer Science
Elective DATA MINING AND DATA WAREHOUSING
(CBCS 2014 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
1. What is Data warehouse?
2. Define Query Manager.
3. What is Tuning?
4. List out the Process Managers.
5. Define Data mining.
6. What is KDD?
7. What is Fuzzy logic?
8. Draw Decision Tree for sales data.
9. What is Market Basket Analysis?
10. How to generate Association rules?
Sub. Code
4BCEE1A
AFF-4564
2
WS3
Part B 5 25)
Answer all questions.
11. Describe the delivery process in Data warehouse.
Or
Discuss about Query Management Process.
12. Explain the tools to manage Data warehouse.
Or
How to estimate the Load Process?
13. Explain the basics of data mining.
Or
Discuss the social implications of Data mining.
14. Describe about Decision support system.
Or
Discuss the OLAP technology.
15. Explain the property of Apriori Algorithm.
Or
How to measure the quality of Rule techniques?
Part C 10 30)
Answer any three questions.
16. Explain in detail about Process Architecture.
17. Discuss about Tuning Performance of Data warehouse.
AFF-4564
3
WS3
18. Explain about Data mining metrics.
19. Describe in detail about Data mining techniques.
20. Discuss about Advanced Association Rule Techniques.
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