DISTANCE EDUCATION
M.Sc. Engg.) Yr. Integrated) DEGREE
EXAMINATION, MAY 2017
DATA WAREHOUSING AND MINING
(2013 Onwards)
Time Three hours Maximum 100 marks
SECTION A — × 8 40 marks)
Answer any FIVE of the following.
1. Write detailed notes on various kinds of data
preprocessing techniques.
2. Give detailed description about Association Rules in Data
Mining.
3. Discuss on any two summarization techniques.
4. Describe about impact of outliers on clustering.
5. Illustrate nearest neighbor clustering algorithm with an
example.
6. Write notes on decision tree algorithm.
7. What is Web Mining? Discuss.
8. Explain any one application of Web Mining.
Sub. Code
44
DE-744
2
WS 20
SECTION B — × 15 60 marks)
Answer any FOUR questions.
9. Write an overview about the following
Major issues on Data Mining.
Data mining functionalities.
10. Discuss the process involved in KDD process.
How to retrieve information using Data Mining
Techniques?
11. Describe any two neural networks algorithms used
in Data Mining.
Write detailed notes on Genetic Algorithms.
12. Illustrate various hierarchical algorithms with relevant
examples.
13. How to estimate error in Pattern Matching? Discuss.
14. Give detailed description about web Content Mining.
15. Explain in detail about ontology based Web Mining
Research.