M.Sc. DEGREE EXAMINATION, NOVEMBER 2017
Second Semester
Information Technology
DATAMINING AND WAREHOUSING
(CBCS 2014 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
1. How a database design is represented in OLAP systems?
2. What are operational database?
3. Mention any two major issues in data mining.
4. What are the various steps in data mining?
5. How can the efficiency of an a priori algorithm be
improved?
6. Can a data mining system generate only interesting
patterns? Justify.
7. Define Clustering.
8. What is meant by unsupervised learning?
9. List any two advantages of Web mining.
10. What is spatial database?
Sub. Code
4MIT2C3
AFF-4975
2
Wk 11
Part B x 5 25)
Answer all questions.
11. Write short note on OLAP operations.
Or
Explain about fact tables and dimensions.
12. Why data preprocessing is needed? Discuss.
Or
Write a note on cleaning in KDD process.
13. What is an association rule? Explain.
Or
Briefly discuss about decision tree classification.
14. How is CLARANS different from CLARA? Illustrate
with an example.
Or
Explain briefly about the working of genetic
algorithm.
15. Summarize about Temporal mining.
Or
Write short notes on Web usage mining.
Part C x 10 30)
Answer any three questions.
16. Write a detailed note on data access and retrieval tools.
17. Explain about the current trends in data mining.
AFF-4975
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Wk 11
18. Discuss in detail about the methods to discover
association rules.
19. Describe the underlying principles of the CACTUS
algorithm.
20. Explain in detail about Text mining.
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