B.Sc. DEGREE EXAMINATION, NOVEMBER 2017
Fifth Semester
Computer Science
Elective: 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 delivery process?
2. What is Transforrm data?
3. What are the functions of tools in data warehosue?
4. How is the data load turned?
5. What is Datamining?
6. What are the basics of datamining?
7. What is similarity measures?
8. How are rural networks used in datamining?
9. Define large item set.
10. What is confidence level and support level is association
rules?
Sub. Code
1BCEE1A
AFC-10388
2
ws1
Part B x 5 25)
Answer all questions, choosing either or
11. What is data ware house? Explain.
Or
Describe briefly about functions of load manager.
12. Explain about assessing performance in data
warehouse.
Or
Explain the functions of query manager.
13. Explain about data mining metrics.
Or
Write briefly about data mining from a database
perspective.
14. How are Fuzzy sets and Fuzy logic used in data
mining.
Or
Describe about decision support system.
15. Describe about Incremental rules.
Or
Explain about measuring the quality of rules.
Part C x 10 30)
Answer any three questions.
16. Explain about extract and load process, Back up and
archieve process in data warehouse.
17. Briefly discuss about capacity planning and tuning.
AFC-10388
3
ws1
18. Discuss Data mining issues.
19. Explain about statistical perspective on data mining.
20. Explain about parallel algorithm.
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