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Posted By: Pradeep Kumar Member Level: Silver Posted Date: 10 May 2008
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2007 Anna University B.E Computer Science CS 1004 -DATA WARE HOUSING AND MINING Question paper
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BE/B.Tech DEGREE EXAMINATION MAY/JUNE 2007
SIXTH SEMESTER
COMPUTER SCIENCE AND ENGINEERING
CS 1004 – DATA WARE HOUSING AND MINING
(REGULATION 2004)
TIME: THREE HOURS MAXIMUM MARKS :100 MARKS
Answer all the question PART –A(10*2=20)
1. Define the cube. Give and example.
2. What is data mart? Which schema is suitable for data mart?
3. Write the role of data mining and data warehousing.
4. What is meant by concept description
5. Define (a) Frequent itemset (b) Association Rule.
6. Write the use of conditional Patter base in FP-Tree.
7. Distinguish between clustering and classification.
8. Why naïve Bayesian classification is is called ‘navie’?
9. Write short notes on text mining.
10. What kind of association can be mined for multimedia data?
PART –B (5x16=80 marks)
11 (a)
(i) With a neat sketch discuss the data ware house architecture . (10)
(ii) Discuss the various types of meta data(6)
or
(b)
(i) Differentiate OLTP with OLAP systems. (8)
(ii)Explain the operations performed on data warehouse with and examples(8)
12) (a)
(i)Explain the needs and steps involved in Data processing(16)
or
(b)
(i)list out and describe the primitives fir specifying a data mining tasks. (10)
(ii)Describe how concept hierarchies are useful in data mining(6)
13)(a)
(i)write an algorithm for FP-Tree construction and explain how frequent itemsets are generated from FP-tree(16)
or
(b) Discuss apriori algorithm with a suitable example and explain how its efficiency can be improved (16)
14)
(a) (i) Briefly outline the major steps of decision tree classification(10)
(ii) What are the advantages and disadvantages of decision tree over other classification techniques? (6)
Or
(b) (i) Discuss the different types of clustering methods. (8)
(ii) Describe the working of PAM (Portioning Around Medoids)algorithm (8)
15)
(a) Explain the mining of spatial databases. (16)
Or
(b)
(i) Explain the role of data mining in financial data analysis (10)
(ii) Discuss about various data mining tools.(6)
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