Download Karunya University Supplementary Examination – July 2010

Reg. No. ________
Karunya University
(Karunya Institute of Technology and Sciences)
(Declared as Deemed to be University under Sec.3 of the UGC Act, 1956)
Supplementary Examination – July 2010
Subject Title:
Subject Code:
DATA MINING AND WAREHOUSING
CS261
Time: 3 hours
Maximum Marks: 100
Answer ALL questions
PART – A (10 x 1 = 10 MARKS)
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10.
Define data warehouse.
Expand OLTP.
Define metadata.
Define Data Mining.
Define pattern.
List out any two important characteristics of a perfect model.
List out the two methods to express “nearness” in clusters.
What is dirty data?
Mention any one mining tool used in bio informatics.
Mention any two biological data bases.
PART – B (5 x 3 = 15 MARKS)
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List out the various architectures for database parallel processing.
Explain how metadata management is done.
Write the steps to perform Hypothesis Testing.
List out the different types of clustering.
What is the goal of gene analysis?
PART – C (5 x 15 = 75 MARKS)
16. Discuss in detail the various access tools available for data warehousing.
(OR)
17. Discuss data marts with its types, advantages and disadvantages.
18. Discuss in detail Meta data repository and its benefits.
(OR)
19. Discuss the Meta data trends in detail.
20. What are the necessary OLAP guidelines followed by businesses all over?
(OR)
21. What are categorical predictors? Discuss its types with an example for each.
22. What is clustering? Discuss the various clustering algorithms in detail.
(OR)
23. What are decision trees? Explain the working of ID3 algorithm.
24. Discuss the different approaches in Genomic data analysis.
(OR)
25. Discuss the role of classification in Biological data with examples.