B.C.A. DEGREE EXAMINATION, NOVEMBER 2017
Sixth Semester
Computer Application
DATA MINING AND DATA WAREHOUSING
(CBCS 2011 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 X 2 20)
Answer all questions.
1. What is a Data Warehousing?
2. What is meant by Loading the Data?
3. What is a Process?
4. Why do you need tools to manage a Data Warehouse?
5. What is KDD?
6. What is Data Mining?
7. What do you mean by OLAP?
8. What are the applications of Neural Networks?
9. What is Incremental Rules?
10. What is Item Set?
Sub. Code
1BCA6C1
AFC-10379
2
ws2
Part B X 5 25)
Answer all questions, choosing either or
11. Explain the methods for Clean and Transform the
Data.
Or
Explain the Data Warehouse architecture.
12. How to estimate the load? Explain.
Or
Explain Tuning queries with example.
13. Explain the Social implications of Data Mining.
Or
Explain the Data Mining issues.
14. Explain the Dimensional modeling.
Or
Explain the Decision Support systems.
15. How will you measure the quality of rules? Explain.
Or
Explain Advanced Association Rule techniques.
AFC-10379
3
ws2
Part C X 10 30)
Answer any three questions.
16. Explain the Data Warehouse delivery method.
17. Explain Load Manager System Manager
18. Describe the Data Mining metrics.
19. Explain the statistical perspective on Data Mining.
20. Explain Distributive algorithms for Association rules.
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