CS2032 Data Warehousing and Data Mining Mj2014 Question Paper

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Anna University Question Paper Code :51324

B.E./B.Tech. DEGREE EXAMINATION, MAY/JUNE 2014. 

Seventh Semester 

Computer Science and Engineering 

CS 2032/CS 701/10144 CSE 32 — DATA WAREHOUSING AND DATA MINING 

(Common to Sixth Semester Information Technology) 

(Regulation 2008/2010) 

(Common to PTCS 2032 – Data warehousing and Data Mining for B.E. (Part-Time) Sixth Semester – Computer Science and Engineering – Regulation 2009) 

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PART A — (10 x 2 = 20 marks) 

1. What is the need for back end process in data warehouse design?
2. What are the advantages dimensional modelings?
3. List out the two different types of reporting tools.
4. Define OLAP.
5. What is Legacy database?
6. What is descriptive and predictive data mining?
7. How is prediction differing from classification?
8. How do you choose best split while constructing a decision tree?
9. What is a STING?
10. Define Wave Cluster?



PART B — (5 x 16 = 80 marks) 

11. (a) (i) Explain the mapping of data warehouse to multiprocessor architecture. (10)
(ii) Discuss about data warehouse meta data. (6) -
Or
(b) With a neat diagram describe the various stages of building a data warehouse. (16)