U.G. DEGREE EXAMINATION, APRIL 2018
Computer Application
Allied DATA MINING AND WAREHOUSING
(CBCS 2017 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
1. Define data warehouse.
2. What is meta data?
3. What is the importance of data preprocessing?
4. Define data discretization.
5. What is market basket analysis?
6. Define Bayes theorem.
7. What is clustering?
8. Define CLARANS.
9. List out some of the application areas of data mining
systems.
10. What is spatial data mining?
Sub. Code
7BCAA4
AFS-0455
2
Sp 6
Part B 5 25)
Answer all questions, choosing either or
11. Describe any six issues in data mining systems.
Or
Write about data warehouse architecture.
12. Discuss about data transformation.
Or
Describe how concept hierarchies are useful in data
mining.
13. Write a brief note on classification and prediction.
Or
What is back propagation? How does it work?
14. Discuss the different types of clustering methods.
Or
Describe K means clustering algorithm.
15. Discuss the application of data mining for the
telecommunication industry.
Or
Discuss the social impacts of data mining.
Part C x 10 30)
Answer any three questions.
16. Describe the multidimensional data model.
17. Discuss in detail on data reduction.
AFS-0455
3
Sp 6
18. Write the algorithm to discover frequent item sets
without candidate generation.
19. Explain partitioning methods in clustering.
20. Explain the mining of spatial databases.
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