M.C.A. DEGREE EXAMINATION,
NOVEMBER 2017
Fifth Semester
Computer Applications
DATA MINING AND WAREHOUSING
(Common for M.C.A. (R)/M.C.A.
(CBCS 2012 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
1. What do you mean by data mart in data warehouse?
2. Why we need dimension table?
3. Define data mining.
4. What is KDD?
5. Define an association rule.
6. What is a decision tree?
7. What are the different clustering techniques?
8. Write a note on neural networks.
9. List the different types of web mining.
10. What is the use of matlab tool?
Sub. Code
541502/545502
RW-973
2
Ws5
Part B 5 25)
Answer all questions choosing either or
11. What are the various data sources for the data
warehouse?
Or
List out major functions and services in the data
storage area.
12. Give a brief account of data mining techniques.
Or
Discuss about measure of similarity and
dissimilarity.
13. Discuss the concepts of frequent sets, confidence
and support.
Or
Write a algorithm for back propagation method in
classification.
14. What are the different phases of Birch?
Or
Explain about supervised and unsupervised
learning.
15. How is text mining related to web mining? What are
the techniques of text mining?
Or
How do you handle spatial and non-spatial data,
while carrying out any mining task? Explain.
RW-973
3
Ws5
Part C 10 30)
Answer any three questions.
16. Discuss about different types of schemas used in data
warehouse with diagrams.
17. Explain the types of data can be mined in data mining
technique.
18. Describe the working principle of the Pincer search
algorithm.
19. Explain the concept of a cluster that are used in rock.
20. Write short notes on the following data mining tools
Weka
Rapid miner.
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