Post on 31-Mar-2018
Reg. No. :
M.B.A. DEGREE EXAMINATION, AUGUST/SEPTEMBER 2017.
Fourth Semester
Technology Management
DBA 7018 — DATA MINING AND BUSINESS INTELLIGENCE
(Regulations 2013)
Time : Three hours Maximum : 100 marks
Answer ALL questions.
PART A — (10 2 = 20 marks)
1. What is meant data mining?
2. How to implement the business intelligence?
3. Write the characteristics of data warehouse.
4. Differentiate between OLTP and OLAP.
5. Define clustering.
6. What are support vector machines?
7. List out the advantages of information technology in business.
8. What are ethical and legal limits of BI?
9. List out the applications of data mining.
10. What is meant by CRM?
PART B — (5 13 = 65 marks)
11. (a) (i) What is text mining? Explain different approaches to text mining.
(8)
(ii) What are the major issues in data mining? (5)
Or
(b) Describe in detail about implementing of business intelligence.
Question Paper Code : BS2135
BS2135 2
12. (a) Describe in detail data ware house architecture and its components with
neat sketch.
Or
(b) Write short notes on :
(i) Meta data models.
(ii) Transformation.
13. (a) What is meant classification? Explain decision tree classification
algorithm with example.
Or
(b) What is association rule mining? Explain the various rules of association
rule mining based on the dimensions of data involved in the rule set.
14. (a) Discuss business intelligence software and its contribution towards the
development of business.
Or
(b) (i) Explain the various modern techniques of crypt analysis. (8)
(ii) Write short notes on organizing an effective BI term. (5)
15. (a) Analyse the role of data mining and business intelligence applications in
banking.
Or
(b) Write short notes on :
(i) Stock pricing
(ii) Crime
(iii) Genetics application development using data mining.
PART C — (1 15 = 15 marks)
16. (a) Discuss how data mining techniques used to analysis customer
perception towards online shopping.
Or
(b) Discuss data mining and business intelligence applications play an
importance role in production.
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