Question Paper Code : BS2135 - Anna Universitycde.annauniv.edu/MBAQP/pdf/Fourth Semester/DBA7018/DBA7018.pdf · Write the characteristics of data warehouse. 4. Differentiate between

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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