M.B.A. (BUSINESS ANALYTICS) DEGREE
EXAMINATION, APRIL 2018
Third Semester
DATA MINING FOR BUSINESS ANALYTICS
(2016 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 X 2 20)
Answer all the questions.
1. Define Data Mining.
2. Write any two applications of Business Intelligence.
3. What is process mining?
4. What is data understanding?
5. What is classification?
6. What do you mean by cluster analysis?
7. Write short note on Association Rule Mining.
8. List any two uses of Artificial Neural Network.
9. Write any two data mining tools.
10. What is called myths?
Sub. Code
34
CP-8792
2
Wk 7
Part B X 5 25)
Answer all the questions.
11. Explain the characteristics of data mining.
Or
Explain the various benefits of using data mining in
business.
12. What is testing? Explain its importance.
Or
What is data pre processing? Why should it be
done?
13. Explain the different types of-clustering methods.
Or
Explain the concept of classification in data mining.
14. Explain the various elements of Artificial Neural
Network.
Or
Describe the different applications of Artificial
Neural Network.
15. Explain the different types of software tools
associated with data mining.
Or
Explain the concept of data mining myths and
blunders.
CP-8792
3
Wk 7
Part C X 10 30)
Answer all the questions.
16. Draw the data mining architecture and explain its
components.
Or
What is Business Intelligence and how it is related
to data mining?
17. Explain the various stages of data mining process.
Or
Explain the elements in Association Rule Mining.
18. Explain any two models used to estimate the true
accuracy of classification.
Or
Describe the various data mining software tools.
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